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c=n[l];const d=i.get(l);if(c){if(d&&c.active()){c.update(d,h,a);continue}c.cancel()}d&&d.duration?(n[l]=c=new As(d,t,l,h),s.push(c)):t[l]=h}return s}update(t,e){if(0===this._properties.size)return void Object.assign(t,e);const i=this._createAnimations(t,e);return i.length?(bt.add(this._chart,i),!0):void 0}}function Ls(t,e){const i=t&&t.options||{},s=i.reverse,n=void 0===i.min?e:0,o=void 0===i.max?e:0;return{start:s?o:n,end:s?n:o}}function Es(t,e){const i=[],s=t._getSortedDatasetMetas(e);let n,o;for(n=0,o=s.length;n<o;++n)i.push(s[n].index);return i}function Rs(t,e,i,s={}){const n=t.keys,o="single"===s.mode;let r,l,h,c;if(null===e)return;let d=!1;for(r=0,l=n.length;r<l;++r){if(h=+n[r],h===i){if(d=!0,s.all)continue;break}c=t.values[h],a(c)&&(o||0===e||F(e)===F(c))&&(e+=c)}return d||s.all?e:0}function Is(t,e){const i=t&&t.options.stacked;return i||void 0===i&&void 0!==e.stack}function zs(t,e,i){const s=t[e]||(t[e]={});return s[i]||(s[i]={})}function Fs(t,e,i,s){for(const n of e.getMatchingVisibleMetas(s).reverse()){const e=t[n.index];if(i&&e>0||!i&&e<0)return n.index}return null}function Vs(t,e){const{chart:i,_cachedMeta:s}=t,n=i._stacks||(i._stacks={}),{iScale:o,vScale:a,index:r}=s,l=o.axis,h=a.axis,c=function(t,e,i){return`${t.id}.${e.id}.${i.stack||i.type}`}(o,a,s),d=e.length;let u;for(let t=0;t<d;++t){const i=e[t],{[l]:o,[h]:d}=i;u=(i._stacks||(i._stacks={}))[h]=zs(n,c,o),u[r]=d,u._top=Fs(u,a,!0,s.type),u._bottom=Fs(u,a,!1,s.type);(u._visualValues||(u._visualValues={}))[r]=d}}function Bs(t,e){const i=t.scales;return Object.keys(i).filter((t=>i[t].axis===e)).shift()}function Ws(t,e){const i=t.controller.index,s=t.vScale&&t.vScale.axis;if(s){e=e||t._parsed;for(const t of e){const e=t._stacks;if(!e||void 0===e[s]||void 0===e[s][i])return;delete e[s][i],void 0!==e[s]._visualValues&&void 0!==e[s]._visualValues[i]&&delete e[s]._visualValues[i]}}}const Ns=t=>"reset"===t||"none"===t,Hs=(t,e)=>e?t:Object.assign({},t);class js{static defaults={};static datasetElementType=null;static dataElementType=null;constructor(t,e){this.chart=t,this._ctx=t.ctx,this.index=e,this._cachedDataOpts={},this._cachedMeta=this.getMeta(),this._type=this._cachedMeta.type,this.options=void 0,this._parsing=!1,this._data=void 0,this._objectData=void 0,this._sharedOptions=void 0,this._drawStart=void 0,this._drawCount=void 0,this.enableOptionSharing=!1,this.supportsDecimation=!1,this.$context=void 0,this._syncList=[],this.datasetElementType=new.target.datasetElementType,this.dataElementType=new.target.dataElementType,this.initialize()}initialize(){const t=this._cachedMeta;this.configure(),this.linkScales(),t._stacked=Is(t.vScale,t),this.addElements(),this.options.fill&&!this.chart.isPluginEnabled("filler")&&console.warn("Tried to use the 'fill' option without the 'Filler' plugin enabled. Please import and register the 'Filler' plugin and make sure it is not disabled in the options")}updateIndex(t){this.index!==t&&Ws(this._cachedMeta),this.index=t}linkScales(){const t=this.chart,e=this._cachedMeta,i=this.getDataset(),s=(t,e,i,s)=>"x"===t?e:"r"===t?s:i,n=e.xAxisID=l(i.xAxisID,Bs(t,"x")),o=e.yAxisID=l(i.yAxisID,Bs(t,"y")),a=e.rAxisID=l(i.rAxisID,Bs(t,"r")),r=e.indexAxis,h=e.iAxisID=s(r,n,o,a),c=e.vAxisID=s(r,o,n,a);e.xScale=this.getScaleForId(n),e.yScale=this.getScaleForId(o),e.rScale=this.getScaleForId(a),e.iScale=this.getScaleForId(h),e.vScale=this.getScaleForId(c)}getDataset(){return this.chart.data.datasets[this.index]}getMeta(){return this.chart.getDatasetMeta(this.index)}getScaleForId(t){return this.chart.scales[t]}_getOtherScale(t){const e=this._cachedMeta;return t===e.iScale?e.vScale:e.iScale}reset(){this._update("reset")}_destroy(){const t=this._cachedMeta;this._data&&rt(this._data,this),t._stacked&&Ws(t)}_dataCheck(){const t=this.getDataset(),e=t.data||(t.data=[]),i=this._data;if(o(e)){const t=this._cachedMeta;this._data=function(t,e){const{iScale:i,vScale:s}=e,n="x"===i.axis?"x":"y",o="x"===s.axis?"x":"y",a=Object.keys(t),r=new Array(a.length);let l,h,c;for(l=0,h=a.length;l<h;++l)c=a[l],r[l]={[n]:c,[o]:t[c]};return r}(e,t)}else if(i!==e){if(i){rt(i,this);const t=this._cachedMeta;Ws(t),t._parsed=[]}e&&Object.isExtensible(e)&&at(e,this),this._syncList=[],this._data=e}}addElements(){const t=this._cachedMeta;this._dataCheck(),this.datasetElementType&&(t.dataset=new this.datasetElementType)}buildOrUpdateElements(t){const e=this._cachedMeta,i=this.getDataset();let s=!1;this._dataCheck();const n=e._stacked;e._stacked=Is(e.vScale,e),e.stack!==i.stack&&(s=!0,Ws(e),e.stack=i.stack),this._resyncElements(t),(s||n!==e._stacked)&&(Vs(this,e._parsed),e._stacked=Is(e.vScale,e))}configure(){const t=this.chart.config,e=t.datasetScopeKeys(this._type),i=t.getOptionScopes(this.getDataset(),e,!0);this.options=t.createResolver(i,this.getContext()),this._parsing=this.options.parsing,this._cachedDataOpts={}}parse(t,e){const{_cachedMeta:i,_data:s}=this,{iScale:a,_stacked:r}=i,l=a.axis;let h,c,d,u=0===t&&e===s.length||i._sorted,f=t>0&&i._parsed[t-1];if(!1===this._parsing)i._parsed=s,i._sorted=!0,d=s;else{d=n(s[t])?this.parseArrayData(i,s,t,e):o(s[t])?this.parseObjectData(i,s,t,e):this.parsePrimitiveData(i,s,t,e);const a=()=>null===c[l]||f&&c[l]<f[l];for(h=0;h<e;++h)i._parsed[h+t]=c=d[h],u&&(a()&&(u=!1),f=c);i._sorted=u}r&&Vs(this,d)}parsePrimitiveData(t,e,i,s){const{iScale:n,vScale:o}=t,a=n.axis,r=o.axis,l=n.getLabels(),h=n===o,c=new Array(s);let d,u,f;for(d=0,u=s;d<u;++d)f=d+i,c[d]={[a]:h||n.parse(l[f],f),[r]:o.parse(e[f],f)};return c}parseArrayData(t,e,i,s){const{xScale:n,yScale:o}=t,a=new Array(s);let r,l,h,c;for(r=0,l=s;r<l;++r)h=r+i,c=e[h],a[r]={x:n.parse(c[0],h),y:o.parse(c[1],h)};return a}parseObjectData(t,e,i,s){const{xScale:n,yScale:o}=t,{xAxisKey:a="x",yAxisKey:r="y"}=this._parsing,l=new Array(s);let h,c,d,u;for(h=0,c=s;h<c;++h)d=h+i,u=e[d],l[h]={x:n.parse(M(u,a),d),y:o.parse(M(u,r),d)};return l}getParsed(t){return this._cachedMeta._parsed[t]}getDataElement(t){return this._cachedMeta.data[t]}applyStack(t,e,i){const s=this.chart,n=this._cachedMeta,o=e[t.axis];return Rs({keys:Es(s,!0),values:e._stacks[t.axis]._visualValues},o,n.index,{mode:i})}updateRangeFromParsed(t,e,i,s){const n=i[e.axis];let o=null===n?NaN:n;const a=s&&i._stacks[e.axis];s&&a&&(s.values=a,o=Rs(s,n,this._cachedMeta.index)),t.min=Math.min(t.min,o),t.max=Math.max(t.max,o)}getMinMax(t,e){const i=this._cachedMeta,s=i._parsed,n=i._sorted&&t===i.iScale,o=s.length,r=this._getOtherScale(t),l=((t,e,i)=>t&&!e.hidden&&e._stacked&&{keys:Es(i,!0),values:null})(e,i,this.chart),h={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY},{min:c,max:d}=function(t){const{min:e,max:i,minDefined:s,maxDefined:n}=t.getUserBounds();return{min:s?e:Number.NEGATIVE_INFINITY,max:n?i:Number.POSITIVE_INFINITY}}(r);let u,f;function g(){f=s[u];const e=f[r.axis];return!a(f[t.axis])||c>e||d<e}for(u=0;u<o&&(g()||(this.updateRangeFromParsed(h,t,f,l),!n));++u);if(n)for(u=o-1;u>=0;--u)if(!g()){this.updateRangeFromParsed(h,t,f,l);break}return h}getAllParsedValues(t){const e=this._cachedMeta._parsed,i=[];let s,n,o;for(s=0,n=e.length;s<n;++s)o=e[s][t.axis],a(o)&&i.push(o);return i}getMaxOverflow(){return!1}getLabelAndValue(t){const e=this._cachedMeta,i=e.iScale,s=e.vScale,n=this.getParsed(t);return{label:i?""+i.getLabelForValue(n[i.axis]):"",value:s?""+s.getLabelForValue(n[s.axis]):""}}_update(t){const e=this._cachedMeta;this.update(t||"default"),e._clip=function(t){let e,i,s,n;return o(t)?(e=t.top,i=t.right,s=t.bottom,n=t.left):e=i=s=n=t,{top:e,right:i,bottom:s,left:n,disabled:!1===t}}(l(this.options.clip,function(t,e,i){if(!1===i)return!1;const s=Ls(t,i),n=Ls(e,i);return{top:n.end,right:s.end,bottom:n.start,left:s.start}}(e.xScale,e.yScale,this.getMaxOverflow())))}update(t){}draw(){const t=this._ctx,e=this.chart,i=this._cachedMeta,s=i.data||[],n=e.chartArea,o=[],a=this._drawStart||0,r=this._drawCount||s.length-a,l=this.options.drawActiveElementsOnTop;let h;for(i.dataset&&i.dataset.draw(t,n,a,r),h=a;h<a+r;++h){const e=s[h];e.hidden||(e.active&&l?o.push(e):e.draw(t,n))}for(h=0;h<o.length;++h)o[h].draw(t,n)}getStyle(t,e){const i=e?"active":"default";return void 0===t&&this._cachedMeta.dataset?this.resolveDatasetElementOptions(i):this.resolveDataElementOptions(t||0,i)}getContext(t,e,i){const s=this.getDataset();let n;if(t>=0&&t<this._cachedMeta.data.length){const e=this._cachedMeta.data[t];n=e.$context||(e.$context=function(t,e,i){return Ci(t,{active:!1,dataIndex:e,parsed:void 0,raw:void 0,element:i,index:e,mode:"default",type:"data"})}(this.getContext(),t,e)),n.parsed=this.getParsed(t),n.raw=s.data[t],n.index=n.dataIndex=t}else n=this.$context||(this.$context=function(t,e){return Ci(t,{active:!1,dataset:void 0,datasetIndex:e,index:e,mode:"default",type:"dataset"})}(this.chart.getContext(),this.index)),n.dataset=s,n.index=n.datasetIndex=this.index;return n.active=!!e,n.mode=i,n}resolveDatasetElementOptions(t){return this._resolveElementOptions(this.datasetElementType.id,t)}resolveDataElementOptions(t,e){return this._resolveElementOptions(this.dataElementType.id,e,t)}_resolveElementOptions(t,e="default",i){const s="active"===e,n=this._cachedDataOpts,o=t+"-"+e,a=n[o],r=this.enableOptionSharing&&k(i);if(a)return Hs(a,r);const l=this.chart.config,h=l.datasetElementScopeKeys(this._type,t),c=s?[`${t}Hover`,"hover",t,""]:[t,""],d=l.getOptionScopes(this.getDataset(),h),u=Object.keys(ue.elements[t]),f=l.resolveNamedOptions(d,u,(()=>this.getContext(i,s,e)),c);return f.$shared&&(f.$shared=r,n[o]=Object.freeze(Hs(f,r))),f}_resolveAnimations(t,e,i){const s=this.chart,n=this._cachedDataOpts,o=`animation-${e}`,a=n[o];if(a)return a;let r;if(!1!==s.options.animation){const s=this.chart.config,n=s.datasetAnimationScopeKeys(this._type,e),o=s.getOptionScopes(this.getDataset(),n);r=s.createResolver(o,this.getContext(t,i,e))}const l=new Ts(s,r&&r.animations);return r&&r._cacheable&&(n[o]=Object.freeze(l)),l}getSharedOptions(t){if(t.$shared)return this._sharedOptions||(this._sharedOptions=Object.assign({},t))}includeOptions(t,e){return!e||Ns(t)||this.chart._animationsDisabled}_getSharedOptions(t,e){const i=this.resolveDataElementOptions(t,e),s=this._sharedOptions,n=this.getSharedOptions(i),o=this.includeOptions(e,n)||n!==s;return this.updateSharedOptions(n,e,i),{sharedOptions:n,includeOptions:o}}updateElement(t,e,i,s){Ns(s)?Object.assign(t,i):this._resolveAnimations(e,s).update(t,i)}updateSharedOptions(t,e,i){t&&!Ns(e)&&this._resolveAnimations(void 0,e).update(t,i)}_setStyle(t,e,i,s){t.active=s;const n=this.getStyle(e,s);this._resolveAnimations(e,i,s).update(t,{options:!s&&this.getSharedOptions(n)||n})}removeHoverStyle(t,e,i){this._setStyle(t,i,"active",!1)}setHoverStyle(t,e,i){this._setStyle(t,i,"active",!0)}_removeDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!1)}_setDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!0)}_resyncElements(t){const e=this._data,i=this._cachedMeta.data;for(const[t,e,i]of this._syncList)this[t](e,i);this._syncList=[];const s=i.length,n=e.length,o=Math.min(n,s);o&&this.parse(0,o),n>s?this._insertElements(s,n-s,t):n<s&&this._removeElements(n,s-n)}_insertElements(t,e,i=!0){const s=this._cachedMeta,n=s.data,o=t+e;let a;const r=t=>{for(t.length+=e,a=t.length-1;a>=o;a--)t[a]=t[a-e]};for(r(n),a=t;a<o;++a)n[a]=new this.dataElementType;this._parsing&&r(s._parsed),this.parse(t,e),i&&this.updateElements(n,t,e,"reset")}updateElements(t,e,i,s){}_removeElements(t,e){const i=this._cachedMeta;if(this._parsing){const s=i._parsed.splice(t,e);i._stacked&&Ws(i,s)}i.data.splice(t,e)}_sync(t){if(this._parsing)this._syncList.push(t);else{const[e,i,s]=t;this[e](i,s)}this.chart._dataChanges.push([this.index,...t])}_onDataPush(){const t=arguments.length;this._sync(["_insertElements",this.getDataset().data.length-t,t])}_onDataPop(){this._sync(["_removeElements",this._cachedMeta.data.length-1,1])}_onDataShift(){this._sync(["_removeElements",0,1])}_onDataSplice(t,e){e&&this._sync(["_removeElements",t,e]);const i=arguments.length-2;i&&this._sync(["_insertElements",t,i])}_onDataUnshift(){this._sync(["_insertElements",0,arguments.length])}}class $s{static defaults={};static defaultRoutes=void 0;x;y;active=!1;options;$animations;tooltipPosition(t){const{x:e,y:i}=this.getProps(["x","y"],t);return{x:e,y:i}}hasValue(){return N(this.x)&&N(this.y)}getProps(t,e){const i=this.$animations;if(!e||!i)return this;const s={};return t.forEach((t=>{s[t]=i[t]&&i[t].active()?i[t]._to:this[t]})),s}}function Ys(t,e){const i=t.options.ticks,n=function(t){const e=t.options.offset,i=t._tickSize(),s=t._length/i+(e?0:1),n=t._maxLength/i;return Math.floor(Math.min(s,n))}(t),o=Math.min(i.maxTicksLimit||n,n),a=i.major.enabled?function(t){const e=[];let i,s;for(i=0,s=t.length;i<s;i++)t[i].major&&e.push(i);return e}(e):[],r=a.length,l=a[0],h=a[r-1],c=[];if(r>o)return function(t,e,i,s){let n,o=0,a=i[0];for(s=Math.ceil(s),n=0;n<t.length;n++)n===a&&(e.push(t[n]),o++,a=i[o*s])}(e,c,a,r/o),c;const d=function(t,e,i){const s=function(t){const e=t.length;let i,s;if(e<2)return!1;for(s=t[0],i=1;i<e;++i)if(t[i]-t[i-1]!==s)return!1;return s}(t),n=e.length/i;if(!s)return Math.max(n,1);const o=W(s);for(let t=0,e=o.length-1;t<e;t++){const e=o[t];if(e>n)return e}return Math.max(n,1)}(a,e,o);if(r>0){let t,i;const n=r>1?Math.round((h-l)/(r-1)):null;for(Us(e,c,d,s(n)?0:l-n,l),t=0,i=r-1;t<i;t++)Us(e,c,d,a[t],a[t+1]);return Us(e,c,d,h,s(n)?e.length:h+n),c}return Us(e,c,d),c}function Us(t,e,i,s,n){const o=l(s,0),a=Math.min(l(n,t.length),t.length);let r,h,c,d=0;for(i=Math.ceil(i),n&&(r=n-s,i=r/Math.floor(r/i)),c=o;c<0;)d++,c=Math.round(o+d*i);for(h=Math.max(o,0);h<a;h++)h===c&&(e.push(t[h]),d++,c=Math.round(o+d*i))}const Xs=(t,e,i)=>"top"===e||"left"===e?t[e]+i:t[e]-i,qs=(t,e)=>Math.min(e||t,t);function Ks(t,e){const i=[],s=t.length/e,n=t.length;let o=0;for(;o<n;o+=s)i.push(t[Math.floor(o)]);return i}function Gs(t,e,i){const s=t.ticks.length,n=Math.min(e,s-1),o=t._startPixel,a=t._endPixel,r=1e-6;let l,h=t.getPixelForTick(n);if(!(i&&(l=1===s?Math.max(h-o,a-h):0===e?(t.getPixelForTick(1)-h)/2:(h-t.getPixelForTick(n-1))/2,h+=n<e?l:-l,h<o-r||h>a+r)))return h}function Js(t){return t.drawTicks?t.tickLength:0}function Zs(t,e){if(!t.display)return 0;const i=Si(t.font,e),s=ki(t.padding);return(n(t.text)?t.text.length:1)*i.lineHeight+s.height}function Qs(t,e,i){let s=ut(t);return(i&&"right"!==e||!i&&"right"===e)&&(s=(t=>"left"===t?"right":"right"===t?"left":t)(s)),s}class tn extends $s{constructor(t){super(),this.id=t.id,this.type=t.type,this.options=void 0,this.ctx=t.ctx,this.chart=t.chart,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this._margins={left:0,right:0,top:0,bottom:0},this.maxWidth=void 0,this.maxHeight=void 0,this.paddingTop=void 0,this.paddingBottom=void 0,this.paddingLeft=void 0,this.paddingRight=void 0,this.axis=void 0,this.labelRotation=void 0,this.min=void 0,this.max=void 0,this._range=void 0,this.ticks=[],this._gridLineItems=null,this._labelItems=null,this._labelSizes=null,this._length=0,this._maxLength=0,this._longestTextCache={},this._startPixel=void 0,this._endPixel=void 0,this._reversePixels=!1,this._userMax=void 0,this._userMin=void 0,this._suggestedMax=void 0,this._suggestedMin=void 0,this._ticksLength=0,this._borderValue=0,this._cache={},this._dataLimitsCached=!1,this.$context=void 0}init(t){this.options=t.setContext(this.getContext()),this.axis=t.axis,this._userMin=this.parse(t.min),this._userMax=this.parse(t.max),this._suggestedMin=this.parse(t.suggestedMin),this._suggestedMax=this.parse(t.suggestedMax)}parse(t,e){return t}getUserBounds(){let{_userMin:t,_userMax:e,_suggestedMin:i,_suggestedMax:s}=this;return t=r(t,Number.POSITIVE_INFINITY),e=r(e,Number.NEGATIVE_INFINITY),i=r(i,Number.POSITIVE_INFINITY),s=r(s,Number.NEGATIVE_INFINITY),{min:r(t,i),max:r(e,s),minDefined:a(t),maxDefined:a(e)}}getMinMax(t){let e,{min:i,max:s,minDefined:n,maxDefined:o}=this.getUserBounds();if(n&&o)return{min:i,max:s};const a=this.getMatchingVisibleMetas();for(let r=0,l=a.length;r<l;++r)e=a[r].controller.getMinMax(this,t),n||(i=Math.min(i,e.min)),o||(s=Math.max(s,e.max));return i=o&&i>s?s:i,s=n&&i>s?i:s,{min:r(i,r(s,i)),max:r(s,r(i,s))}}getPadding(){return{left:this.paddingLeft||0,top:this.paddingTop||0,right:this.paddingRight||0,bottom:this.paddingBottom||0}}getTicks(){return this.ticks}getLabels(){const t=this.chart.data;return this.options.labels||(this.isHorizontal()?t.xLabels:t.yLabels)||t.labels||[]}getLabelItems(t=this.chart.chartArea){return this._labelItems||(this._labelItems=this._computeLabelItems(t))}beforeLayout(){this._cache={},this._dataLimitsCached=!1}beforeUpdate(){d(this.options.beforeUpdate,[this])}update(t,e,i){const{beginAtZero:s,grace:n,ticks:o}=this.options,a=o.sampleSize;this.beforeUpdate(),this.maxWidth=t,this.maxHeight=e,this._margins=i=Object.assign({left:0,right:0,top:0,bottom:0},i),this.ticks=null,this._labelSizes=null,this._gridLineItems=null,this._labelItems=null,this.beforeSetDimensions(),this.setDimensions(),this.afterSetDimensions(),this._maxLength=this.isHorizontal()?this.width+i.left+i.right:this.height+i.top+i.bottom,this._dataLimitsCached||(this.beforeDataLimits(),this.determineDataLimits(),this.afterDataLimits(),this._range=Di(this,n,s),this._dataLimitsCached=!0),this.beforeBuildTicks(),this.ticks=this.buildTicks()||[],this.afterBuildTicks();const r=a<this.ticks.length;this._convertTicksToLabels(r?Ks(this.ticks,a):this.ticks),this.configure(),this.beforeCalculateLabelRotation(),this.calculateLabelRotation(),this.afterCalculateLabelRotation(),o.display&&(o.autoSkip||"auto"===o.source)&&(this.ticks=Ys(this,this.ticks),this._labelSizes=null,this.afterAutoSkip()),r&&this._convertTicksToLabels(this.ticks),this.beforeFit(),this.fit(),this.afterFit(),this.afterUpdate()}configure(){let t,e,i=this.options.reverse;this.isHorizontal()?(t=this.left,e=this.right):(t=this.top,e=this.bottom,i=!i),this._startPixel=t,this._endPixel=e,this._reversePixels=i,this._length=e-t,this._alignToPixels=this.options.alignToPixels}afterUpdate(){d(this.options.afterUpdate,[this])}beforeSetDimensions(){d(this.options.beforeSetDimensions,[this])}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.left=0,this.right=this.width):(this.height=this.maxHeight,this.top=0,this.bottom=this.height),this.paddingLeft=0,this.paddingTop=0,this.paddingRight=0,this.paddingBottom=0}afterSetDimensions(){d(this.options.afterSetDimensions,[this])}_callHooks(t){this.chart.notifyPlugins(t,this.getContext()),d(this.options[t],[this])}beforeDataLimits(){this._callHooks("beforeDataLimits")}determineDataLimits(){}afterDataLimits(){this._callHooks("afterDataLimits")}beforeBuildTicks(){this._callHooks("beforeBuildTicks")}buildTicks(){return[]}afterBuildTicks(){this._callHooks("afterBuildTicks")}beforeTickToLabelConversion(){d(this.options.beforeTickToLabelConversion,[this])}generateTickLabels(t){const e=this.options.ticks;let i,s,n;for(i=0,s=t.length;i<s;i++)n=t[i],n.label=d(e.callback,[n.value,i,t],this)}afterTickToLabelConversion(){d(this.options.afterTickToLabelConversion,[this])}beforeCalculateLabelRotation(){d(this.options.beforeCalculateLabelRotation,[this])}calculateLabelRotation(){const t=this.options,e=t.ticks,i=qs(this.ticks.length,t.ticks.maxTicksLimit),s=e.minRotation||0,n=e.maxRotation;let o,a,r,l=s;if(!this._isVisible()||!e.display||s>=n||i<=1||!this.isHorizontal())return void(this.labelRotation=s);const h=this._getLabelSizes(),c=h.widest.width,d=h.highest.height,u=Z(this.chart.width-c,0,this.maxWidth);o=t.offset?this.maxWidth/i:u/(i-1),c+6>o&&(o=u/(i-(t.offset?.5:1)),a=this.maxHeight-Js(t.grid)-e.padding-Zs(t.title,this.chart.options.font),r=Math.sqrt(c*c+d*d),l=Y(Math.min(Math.asin(Z((h.highest.height+6)/o,-1,1)),Math.asin(Z(a/r,-1,1))-Math.asin(Z(d/r,-1,1)))),l=Math.max(s,Math.min(n,l))),this.labelRotation=l}afterCalculateLabelRotation(){d(this.options.afterCalculateLabelRotation,[this])}afterAutoSkip(){}beforeFit(){d(this.options.beforeFit,[this])}fit(){const t={width:0,height:0},{chart:e,options:{ticks:i,title:s,grid:n}}=this,o=this._isVisible(),a=this.isHorizontal();if(o){const o=Zs(s,e.options.font);if(a?(t.width=this.maxWidth,t.height=Js(n)+o):(t.height=this.maxHeight,t.width=Js(n)+o),i.display&&this.ticks.length){const{first:e,last:s,widest:n,highest:o}=this._getLabelSizes(),r=2*i.padding,l=$(this.labelRotation),h=Math.cos(l),c=Math.sin(l);if(a){const e=i.mirror?0:c*n.width+h*o.height;t.height=Math.min(this.maxHeight,t.height+e+r)}else{const e=i.mirror?0:h*n.width+c*o.height;t.width=Math.min(this.maxWidth,t.width+e+r)}this._calculatePadding(e,s,c,h)}}this._handleMargins(),a?(this.width=this._length=e.width-this._margins.left-this._margins.right,this.height=t.height):(this.width=t.width,this.height=this._length=e.height-this._margins.top-this._margins.bottom)}_calculatePadding(t,e,i,s){const{ticks:{align:n,padding:o},position:a}=this.options,r=0!==this.labelRotation,l="top"!==a&&"x"===this.axis;if(this.isHorizontal()){const a=this.getPixelForTick(0)-this.left,h=this.right-this.getPixelForTick(this.ticks.length-1);let c=0,d=0;r?l?(c=s*t.width,d=i*e.height):(c=i*t.height,d=s*e.width):"start"===n?d=e.width:"end"===n?c=t.width:"inner"!==n&&(c=t.width/2,d=e.width/2),this.paddingLeft=Math.max((c-a+o)*this.width/(this.width-a),0),this.paddingRight=Math.max((d-h+o)*this.width/(this.width-h),0)}else{let i=e.height/2,s=t.height/2;"start"===n?(i=0,s=t.height):"end"===n&&(i=e.height,s=0),this.paddingTop=i+o,this.paddingBottom=s+o}}_handleMargins(){this._margins&&(this._margins.left=Math.max(this.paddingLeft,this._margins.left),this._margins.top=Math.max(this.paddingTop,this._margins.top),this._margins.right=Math.max(this.paddingRight,this._margins.right),this._margins.bottom=Math.max(this.paddingBottom,this._margins.bottom))}afterFit(){d(this.options.afterFit,[this])}isHorizontal(){const{axis:t,position:e}=this.options;return"top"===e||"bottom"===e||"x"===t}isFullSize(){return this.options.fullSize}_convertTicksToLabels(t){let e,i;for(this.beforeTickToLabelConversion(),this.generateTickLabels(t),e=0,i=t.length;e<i;e++)s(t[e].label)&&(t.splice(e,1),i--,e--);this.afterTickToLabelConversion()}_getLabelSizes(){let t=this._labelSizes;if(!t){const e=this.options.ticks.sampleSize;let i=this.ticks;e<i.length&&(i=Ks(i,e)),this._labelSizes=t=this._computeLabelSizes(i,i.length,this.options.ticks.maxTicksLimit)}return t}_computeLabelSizes(t,e,i){const{ctx:o,_longestTextCache:a}=this,r=[],l=[],h=Math.floor(e/qs(e,i));let c,d,f,g,p,m,x,b,_,y,v,M=0,w=0;for(c=0;c<e;c+=h){if(g=t[c].label,p=this._resolveTickFontOptions(c),o.font=m=p.string,x=a[m]=a[m]||{data:{},gc:[]},b=p.lineHeight,_=y=0,s(g)||n(g)){if(n(g))for(d=0,f=g.length;d<f;++d)v=g[d],s(v)||n(v)||(_=Ce(o,x.data,x.gc,_,v),y+=b)}else _=Ce(o,x.data,x.gc,_,g),y=b;r.push(_),l.push(y),M=Math.max(_,M),w=Math.max(y,w)}!function(t,e){u(t,(t=>{const i=t.gc,s=i.length/2;let n;if(s>e){for(n=0;n<s;++n)delete t.data[i[n]];i.splice(0,s)}}))}(a,e);const k=r.indexOf(M),S=l.indexOf(w),P=t=>({width:r[t]||0,height:l[t]||0});return{first:P(0),last:P(e-1),widest:P(k),highest:P(S),widths:r,heights:l}}getLabelForValue(t){return t}getPixelForValue(t,e){return NaN}getValueForPixel(t){}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getPixelForDecimal(t){this._reversePixels&&(t=1-t);const e=this._startPixel+t*this._length;return Q(this._alignToPixels?Ae(this.chart,e,0):e)}getDecimalForPixel(t){const e=(t-this._startPixel)/this._length;return this._reversePixels?1-e:e}getBasePixel(){return this.getPixelForValue(this.getBaseValue())}getBaseValue(){const{min:t,max:e}=this;return t<0&&e<0?e:t>0&&e>0?t:0}getContext(t){const e=this.ticks||[];if(t>=0&&t<e.length){const i=e[t];return i.$context||(i.$context=function(t,e,i){return Ci(t,{tick:i,index:e,type:"tick"})}(this.getContext(),t,i))}return this.$context||(this.$context=Ci(this.chart.getContext(),{scale:this,type:"scale"}))}_tickSize(){const t=this.options.ticks,e=$(this.labelRotation),i=Math.abs(Math.cos(e)),s=Math.abs(Math.sin(e)),n=this._getLabelSizes(),o=t.autoSkipPadding||0,a=n?n.widest.width+o:0,r=n?n.highest.height+o:0;return this.isHorizontal()?r*i>a*s?a/i:r/s:r*s<a*i?r/i:a/s}_isVisible(){const t=this.options.display;return"auto"!==t?!!t:this.getMatchingVisibleMetas().length>0}_computeGridLineItems(t){const e=this.axis,i=this.chart,s=this.options,{grid:n,position:a,border:r}=s,h=n.offset,c=this.isHorizontal(),d=this.ticks.length+(h?1:0),u=Js(n),f=[],g=r.setContext(this.getContext()),p=g.display?g.width:0,m=p/2,x=function(t){return Ae(i,t,p)};let b,_,y,v,M,w,k,S,P,D,C,O;if("top"===a)b=x(this.bottom),w=this.bottom-u,S=b-m,D=x(t.top)+m,O=t.bottom;else if("bottom"===a)b=x(this.top),D=t.top,O=x(t.bottom)-m,w=b+m,S=this.top+u;else if("left"===a)b=x(this.right),M=this.right-u,k=b-m,P=x(t.left)+m,C=t.right;else if("right"===a)b=x(this.left),P=t.left,C=x(t.right)-m,M=b+m,k=this.left+u;else if("x"===e){if("center"===a)b=x((t.top+t.bottom)/2+.5);else if(o(a)){const t=Object.keys(a)[0],e=a[t];b=x(this.chart.scales[t].getPixelForValue(e))}D=t.top,O=t.bottom,w=b+m,S=w+u}else if("y"===e){if("center"===a)b=x((t.left+t.right)/2);else if(o(a)){const t=Object.keys(a)[0],e=a[t];b=x(this.chart.scales[t].getPixelForValue(e))}M=b-m,k=M-u,P=t.left,C=t.right}const A=l(s.ticks.maxTicksLimit,d),T=Math.max(1,Math.ceil(d/A));for(_=0;_<d;_+=T){const t=this.getContext(_),e=n.setContext(t),s=r.setContext(t),o=e.lineWidth,a=e.color,l=s.dash||[],d=s.dashOffset,u=e.tickWidth,g=e.tickColor,p=e.tickBorderDash||[],m=e.tickBorderDashOffset;y=Gs(this,_,h),void 0!==y&&(v=Ae(i,y,o),c?M=k=P=C=v:w=S=D=O=v,f.push({tx1:M,ty1:w,tx2:k,ty2:S,x1:P,y1:D,x2:C,y2:O,width:o,color:a,borderDash:l,borderDashOffset:d,tickWidth:u,tickColor:g,tickBorderDash:p,tickBorderDashOffset:m}))}return this._ticksLength=d,this._borderValue=b,f}_computeLabelItems(t){const e=this.axis,i=this.options,{position:s,ticks:a}=i,r=this.isHorizontal(),l=this.ticks,{align:h,crossAlign:c,padding:d,mirror:u}=a,f=Js(i.grid),g=f+d,p=u?-d:g,m=-$(this.labelRotation),x=[];let b,_,y,v,M,w,k,S,P,D,C,O,A="middle";if("top"===s)w=this.bottom-p,k=this._getXAxisLabelAlignment();else if("bottom"===s)w=this.top+p,k=this._getXAxisLabelAlignment();else if("left"===s){const t=this._getYAxisLabelAlignment(f);k=t.textAlign,M=t.x}else if("right"===s){const t=this._getYAxisLabelAlignment(f);k=t.textAlign,M=t.x}else if("x"===e){if("center"===s)w=(t.top+t.bottom)/2+g;else if(o(s)){const t=Object.keys(s)[0],e=s[t];w=this.chart.scales[t].getPixelForValue(e)+g}k=this._getXAxisLabelAlignment()}else if("y"===e){if("center"===s)M=(t.left+t.right)/2-g;else if(o(s)){const t=Object.keys(s)[0],e=s[t];M=this.chart.scales[t].getPixelForValue(e)}k=this._getYAxisLabelAlignment(f).textAlign}"y"===e&&("start"===h?A="top":"end"===h&&(A="bottom"));const T=this._getLabelSizes();for(b=0,_=l.length;b<_;++b){y=l[b],v=y.label;const t=a.setContext(this.getContext(b));S=this.getPixelForTick(b)+a.labelOffset,P=this._resolveTickFontOptions(b),D=P.lineHeight,C=n(v)?v.length:1;const e=C/2,i=t.color,o=t.textStrokeColor,h=t.textStrokeWidth;let d,f=k;if(r?(M=S,"inner"===k&&(f=b===_-1?this.options.reverse?"left":"right":0===b?this.options.reverse?"right":"left":"center"),O="top"===s?"near"===c||0!==m?-C*D+D/2:"center"===c?-T.highest.height/2-e*D+D:-T.highest.height+D/2:"near"===c||0!==m?D/2:"center"===c?T.highest.height/2-e*D:T.highest.height-C*D,u&&(O*=-1),0===m||t.showLabelBackdrop||(M+=D/2*Math.sin(m))):(w=S,O=(1-C)*D/2),t.showLabelBackdrop){const e=ki(t.backdropPadding),i=T.heights[b],s=T.widths[b];let n=O-e.top,o=0-e.left;switch(A){case"middle":n-=i/2;break;case"bottom":n-=i}switch(k){case"center":o-=s/2;break;case"right":o-=s;break;case"inner":b===_-1?o-=s:b>0&&(o-=s/2)}d={left:o,top:n,width:s+e.width,height:i+e.height,color:t.backdropColor}}x.push({label:v,font:P,textOffset:O,options:{rotation:m,color:i,strokeColor:o,strokeWidth:h,textAlign:f,textBaseline:A,translation:[M,w],backdrop:d}})}return x}_getXAxisLabelAlignment(){const{position:t,ticks:e}=this.options;if(-$(this.labelRotation))return"top"===t?"left":"right";let i="center";return"start"===e.align?i="left":"end"===e.align?i="right":"inner"===e.align&&(i="inner"),i}_getYAxisLabelAlignment(t){const{position:e,ticks:{crossAlign:i,mirror:s,padding:n}}=this.options,o=t+n,a=this._getLabelSizes().widest.width;let r,l;return"left"===e?s?(l=this.right+n,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l+=a)):(l=this.right-o,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l=this.left)):"right"===e?s?(l=this.left+n,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l-=a)):(l=this.left+o,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l=this.right)):r="right",{textAlign:r,x:l}}_computeLabelArea(){if(this.options.ticks.mirror)return;const t=this.chart,e=this.options.position;return"left"===e||"right"===e?{top:0,left:this.left,bottom:t.height,right:this.right}:"top"===e||"bottom"===e?{top:this.top,left:0,bottom:this.bottom,right:t.width}:void 0}drawBackground(){const{ctx:t,options:{backgroundColor:e},left:i,top:s,width:n,height:o}=this;e&&(t.save(),t.fillStyle=e,t.fillRect(i,s,n,o),t.restore())}getLineWidthForValue(t){const e=this.options.grid;if(!this._isVisible()||!e.display)return 0;const i=this.ticks.findIndex((e=>e.value===t));if(i>=0){return e.setContext(this.getContext(i)).lineWidth}return 0}drawGrid(t){const e=this.options.grid,i=this.ctx,s=this._gridLineItems||(this._gridLineItems=this._computeGridLineItems(t));let n,o;const a=(t,e,s)=>{s.width&&s.color&&(i.save(),i.lineWidth=s.width,i.strokeStyle=s.color,i.setLineDash(s.borderDash||[]),i.lineDashOffset=s.borderDashOffset,i.beginPath(),i.moveTo(t.x,t.y),i.lineTo(e.x,e.y),i.stroke(),i.restore())};if(e.display)for(n=0,o=s.length;n<o;++n){const t=s[n];e.drawOnChartArea&&a({x:t.x1,y:t.y1},{x:t.x2,y:t.y2},t),e.drawTicks&&a({x:t.tx1,y:t.ty1},{x:t.tx2,y:t.ty2},{color:t.tickColor,width:t.tickWidth,borderDash:t.tickBorderDash,borderDashOffset:t.tickBorderDashOffset})}}drawBorder(){const{chart:t,ctx:e,options:{border:i,grid:s}}=this,n=i.setContext(this.getContext()),o=i.display?n.width:0;if(!o)return;const a=s.setContext(this.getContext(0)).lineWidth,r=this._borderValue;let l,h,c,d;this.isHorizontal()?(l=Ae(t,this.left,o)-o/2,h=Ae(t,this.right,a)+a/2,c=d=r):(c=Ae(t,this.top,o)-o/2,d=Ae(t,this.bottom,a)+a/2,l=h=r),e.save(),e.lineWidth=n.width,e.strokeStyle=n.color,e.beginPath(),e.moveTo(l,c),e.lineTo(h,d),e.stroke(),e.restore()}drawLabels(t){if(!this.options.ticks.display)return;const e=this.ctx,i=this._computeLabelArea();i&&Ie(e,i);const s=this.getLabelItems(t);for(const t of s){const i=t.options,s=t.font;Ne(e,t.label,0,t.textOffset,s,i)}i&&ze(e)}drawTitle(){const{ctx:t,options:{position:e,title:i,reverse:s}}=this;if(!i.display)return;const a=Si(i.font),r=ki(i.padding),l=i.align;let h=a.lineHeight/2;"bottom"===e||"center"===e||o(e)?(h+=r.bottom,n(i.text)&&(h+=a.lineHeight*(i.text.length-1))):h+=r.top;const{titleX:c,titleY:d,maxWidth:u,rotation:f}=function(t,e,i,s){const{top:n,left:a,bottom:r,right:l,chart:h}=t,{chartArea:c,scales:d}=h;let u,f,g,p=0;const m=r-n,x=l-a;if(t.isHorizontal()){if(f=ft(s,a,l),o(i)){const t=Object.keys(i)[0],s=i[t];g=d[t].getPixelForValue(s)+m-e}else g="center"===i?(c.bottom+c.top)/2+m-e:Xs(t,i,e);u=l-a}else{if(o(i)){const t=Object.keys(i)[0],s=i[t];f=d[t].getPixelForValue(s)-x+e}else f="center"===i?(c.left+c.right)/2-x+e:Xs(t,i,e);g=ft(s,r,n),p="left"===i?-E:E}return{titleX:f,titleY:g,maxWidth:u,rotation:p}}(this,h,e,l);Ne(t,i.text,0,0,a,{color:i.color,maxWidth:u,rotation:f,textAlign:Qs(l,e,s),textBaseline:"middle",translation:[c,d]})}draw(t){this._isVisible()&&(this.drawBackground(),this.drawGrid(t),this.drawBorder(),this.drawTitle(),this.drawLabels(t))}_layers(){const t=this.options,e=t.ticks&&t.ticks.z||0,i=l(t.grid&&t.grid.z,-1),s=l(t.border&&t.border.z,0);return this._isVisible()&&this.draw===tn.prototype.draw?[{z:i,draw:t=>{this.drawBackground(),this.drawGrid(t),this.drawTitle()}},{z:s,draw:()=>{this.drawBorder()}},{z:e,draw:t=>{this.drawLabels(t)}}]:[{z:e,draw:t=>{this.draw(t)}}]}getMatchingVisibleMetas(t){const e=this.chart.getSortedVisibleDatasetMetas(),i=this.axis+"AxisID",s=[];let n,o;for(n=0,o=e.length;n<o;++n){const o=e[n];o[i]!==this.id||t&&o.type!==t||s.push(o)}return s}_resolveTickFontOptions(t){return Si(this.options.ticks.setContext(this.getContext(t)).font)}_maxDigits(){const t=this._resolveTickFontOptions(0).lineHeight;return(this.isHorizontal()?this.width:this.height)/t}}class en{constructor(t,e,i){this.type=t,this.scope=e,this.override=i,this.items=Object.create(null)}isForType(t){return Object.prototype.isPrototypeOf.call(this.type.prototype,t.prototype)}register(t){const e=Object.getPrototypeOf(t);let i;(function(t){return"id"in t&&"defaults"in t})(e)&&(i=this.register(e));const s=this.items,n=t.id,o=this.scope+"."+n;if(!n)throw new Error("class does not have id: "+t);return n in s||(s[n]=t,function(t,e,i){const s=x(Object.create(null),[i?ue.get(i):{},ue.get(e),t.defaults]);ue.set(e,s),t.defaultRoutes&&function(t,e){Object.keys(e).forEach((i=>{const s=i.split("."),n=s.pop(),o=[t].concat(s).join("."),a=e[i].split("."),r=a.pop(),l=a.join(".");ue.route(o,n,l,r)}))}(e,t.defaultRoutes);t.descriptors&&ue.describe(e,t.descriptors)}(t,o,i),this.override&&ue.override(t.id,t.overrides)),o}get(t){return this.items[t]}unregister(t){const e=this.items,i=t.id,s=this.scope;i in e&&delete e[i],s&&i in ue[s]&&(delete ue[s][i],this.override&&delete re[i])}}class sn{constructor(){this.controllers=new en(js,"datasets",!0),this.elements=new en($s,"elements"),this.plugins=new en(Object,"plugins"),this.scales=new en(tn,"scales"),this._typedRegistries=[this.controllers,this.scales,this.elements]}add(...t){this._each("register",t)}remove(...t){this._each("unregister",t)}addControllers(...t){this._each("register",t,this.controllers)}addElements(...t){this._each("register",t,this.elements)}addPlugins(...t){this._each("register",t,this.plugins)}addScales(...t){this._each("register",t,this.scales)}getController(t){return this._get(t,this.controllers,"controller")}getElement(t){return this._get(t,this.elements,"element")}getPlugin(t){return this._get(t,this.plugins,"plugin")}getScale(t){return this._get(t,this.scales,"scale")}removeControllers(...t){this._each("unregister",t,this.controllers)}removeElements(...t){this._each("unregister",t,this.elements)}removePlugins(...t){this._each("unregister",t,this.plugins)}removeScales(...t){this._each("unregister",t,this.scales)}_each(t,e,i){[...e].forEach((e=>{const s=i||this._getRegistryForType(e);i||s.isForType(e)||s===this.plugins&&e.id?this._exec(t,s,e):u(e,(e=>{const s=i||this._getRegistryForType(e);this._exec(t,s,e)}))}))}_exec(t,e,i){const s=w(t);d(i["before"+s],[],i),e[t](i),d(i["after"+s],[],i)}_getRegistryForType(t){for(let e=0;e<this._typedRegistries.length;e++){const i=this._typedRegistries[e];if(i.isForType(t))return i}return this.plugins}_get(t,e,i){const s=e.get(t);if(void 0===s)throw new Error('"'+t+'" is not a registered '+i+".");return s}}var nn=new sn;class on{constructor(){this._init=void 0}notify(t,e,i,s){if("beforeInit"===e&&(this._init=this._createDescriptors(t,!0),this._notify(this._init,t,"install")),void 0===this._init)return;const n=s?this._descriptors(t).filter(s):this._descriptors(t),o=this._notify(n,t,e,i);return"afterDestroy"===e&&(this._notify(n,t,"stop"),this._notify(this._init,t,"uninstall"),this._init=void 0),o}_notify(t,e,i,s){s=s||{};for(const n of t){const t=n.plugin;if(!1===d(t[i],[e,s,n.options],t)&&s.cancelable)return!1}return!0}invalidate(){s(this._cache)||(this._oldCache=this._cache,this._cache=void 0)}_descriptors(t){if(this._cache)return this._cache;const e=this._cache=this._createDescriptors(t);return this._notifyStateChanges(t),e}_createDescriptors(t,e){const i=t&&t.config,s=l(i.options&&i.options.plugins,{}),n=function(t){const e={},i=[],s=Object.keys(nn.plugins.items);for(let t=0;t<s.length;t++)i.push(nn.getPlugin(s[t]));const n=t.plugins||[];for(let t=0;t<n.length;t++){const s=n[t];-1===i.indexOf(s)&&(i.push(s),e[s.id]=!0)}return{plugins:i,localIds:e}}(i);return!1!==s||e?function(t,{plugins:e,localIds:i},s,n){const o=[],a=t.getContext();for(const r of e){const e=r.id,l=an(s[e],n);null!==l&&o.push({plugin:r,options:rn(t.config,{plugin:r,local:i[e]},l,a)})}return o}(t,n,s,e):[]}_notifyStateChanges(t){const e=this._oldCache||[],i=this._cache,s=(t,e)=>t.filter((t=>!e.some((e=>t.plugin.id===e.plugin.id))));this._notify(s(e,i),t,"stop"),this._notify(s(i,e),t,"start")}}function an(t,e){return e||!1!==t?!0===t?{}:t:null}function rn(t,{plugin:e,local:i},s,n){const o=t.pluginScopeKeys(e),a=t.getOptionScopes(s,o);return i&&e.defaults&&a.push(e.defaults),t.createResolver(a,n,[""],{scriptable:!1,indexable:!1,allKeys:!0})}function ln(t,e){const i=ue.datasets[t]||{};return((e.datasets||{})[t]||{}).indexAxis||e.indexAxis||i.indexAxis||"x"}function hn(t){if("x"===t||"y"===t||"r"===t)return t}function cn(t,...e){if(hn(t))return t;for(const s of e){const e=s.axis||("top"===(i=s.position)||"bottom"===i?"x":"left"===i||"right"===i?"y":void 0)||t.length>1&&hn(t[0].toLowerCase());if(e)return e}var i;throw new Error(`Cannot determine type of '${t}' axis. Please provide 'axis' or 'position' option.`)}function dn(t,e,i){if(i[e+"AxisID"]===t)return{axis:e}}function un(t,e){const i=re[t.type]||{scales:{}},s=e.scales||{},n=ln(t.type,e),a=Object.create(null);return Object.keys(s).forEach((e=>{const r=s[e];if(!o(r))return console.error(`Invalid scale configuration for scale: ${e}`);if(r._proxy)return console.warn(`Ignoring resolver passed as options for scale: ${e}`);const l=cn(e,r,function(t,e){if(e.data&&e.data.datasets){const i=e.data.datasets.filter((e=>e.xAxisID===t||e.yAxisID===t));if(i.length)return dn(t,"x",i[0])||dn(t,"y",i[0])}return{}}(e,t),ue.scales[r.type]),h=function(t,e){return t===e?"_index_":"_value_"}(l,n),c=i.scales||{};a[e]=b(Object.create(null),[{axis:l},r,c[l],c[h]])})),t.data.datasets.forEach((i=>{const n=i.type||t.type,o=i.indexAxis||ln(n,e),r=(re[n]||{}).scales||{};Object.keys(r).forEach((t=>{const e=function(t,e){let i=t;return"_index_"===t?i=e:"_value_"===t&&(i="x"===e?"y":"x"),i}(t,o),n=i[e+"AxisID"]||e;a[n]=a[n]||Object.create(null),b(a[n],[{axis:e},s[n],r[t]])}))})),Object.keys(a).forEach((t=>{const e=a[t];b(e,[ue.scales[e.type],ue.scale])})),a}function fn(t){const e=t.options||(t.options={});e.plugins=l(e.plugins,{}),e.scales=un(t,e)}function gn(t){return(t=t||{}).datasets=t.datasets||[],t.labels=t.labels||[],t}const pn=new Map,mn=new Set;function xn(t,e){let i=pn.get(t);return i||(i=e(),pn.set(t,i),mn.add(i)),i}const bn=(t,e,i)=>{const s=M(e,i);void 0!==s&&t.add(s)};class _n{constructor(t){this._config=function(t){return(t=t||{}).data=gn(t.data),fn(t),t}(t),this._scopeCache=new Map,this._resolverCache=new Map}get platform(){return this._config.platform}get type(){return this._config.type}set type(t){this._config.type=t}get data(){return this._config.data}set data(t){this._config.data=gn(t)}get options(){return this._config.options}set options(t){this._config.options=t}get plugins(){return this._config.plugins}update(){const t=this._config;this.clearCache(),fn(t)}clearCache(){this._scopeCache.clear(),this._resolverCache.clear()}datasetScopeKeys(t){return xn(t,(()=>[[`datasets.${t}`,""]]))}datasetAnimationScopeKeys(t,e){return xn(`${t}.transition.${e}`,(()=>[[`datasets.${t}.transitions.${e}`,`transitions.${e}`],[`datasets.${t}`,""]]))}datasetElementScopeKeys(t,e){return xn(`${t}-${e}`,(()=>[[`datasets.${t}.elements.${e}`,`datasets.${t}`,`elements.${e}`,""]]))}pluginScopeKeys(t){const e=t.id;return xn(`${this.type}-plugin-${e}`,(()=>[[`plugins.${e}`,...t.additionalOptionScopes||[]]]))}_cachedScopes(t,e){const i=this._scopeCache;let s=i.get(t);return s&&!e||(s=new Map,i.set(t,s)),s}getOptionScopes(t,e,i){const{options:s,type:n}=this,o=this._cachedScopes(t,i),a=o.get(e);if(a)return a;const r=new Set;e.forEach((e=>{t&&(r.add(t),e.forEach((e=>bn(r,t,e)))),e.forEach((t=>bn(r,s,t))),e.forEach((t=>bn(r,re[n]||{},t))),e.forEach((t=>bn(r,ue,t))),e.forEach((t=>bn(r,le,t)))}));const l=Array.from(r);return 0===l.length&&l.push(Object.create(null)),mn.has(e)&&o.set(e,l),l}chartOptionScopes(){const{options:t,type:e}=this;return[t,re[e]||{},ue.datasets[e]||{},{type:e},ue,le]}resolveNamedOptions(t,e,i,s=[""]){const o={$shared:!0},{resolver:a,subPrefixes:r}=yn(this._resolverCache,t,s);let l=a;if(function(t,e){const{isScriptable:i,isIndexable:s}=Ye(t);for(const o of e){const e=i(o),a=s(o),r=(a||e)&&t[o];if(e&&(S(r)||vn(r))||a&&n(r))return!0}return!1}(a,e)){o.$shared=!1;l=$e(a,i=S(i)?i():i,this.createResolver(t,i,r))}for(const t of e)o[t]=l[t];return o}createResolver(t,e,i=[""],s){const{resolver:n}=yn(this._resolverCache,t,i);return o(e)?$e(n,e,void 0,s):n}}function yn(t,e,i){let s=t.get(e);s||(s=new Map,t.set(e,s));const n=i.join();let o=s.get(n);if(!o){o={resolver:je(e,i),subPrefixes:i.filter((t=>!t.toLowerCase().includes("hover")))},s.set(n,o)}return o}const vn=t=>o(t)&&Object.getOwnPropertyNames(t).some((e=>S(t[e])));const Mn=["top","bottom","left","right","chartArea"];function wn(t,e){return"top"===t||"bottom"===t||-1===Mn.indexOf(t)&&"x"===e}function kn(t,e){return function(i,s){return i[t]===s[t]?i[e]-s[e]:i[t]-s[t]}}function Sn(t){const e=t.chart,i=e.options.animation;e.notifyPlugins("afterRender"),d(i&&i.onComplete,[t],e)}function Pn(t){const e=t.chart,i=e.options.animation;d(i&&i.onProgress,[t],e)}function Dn(t){return fe()&&"string"==typeof t?t=document.getElementById(t):t&&t.length&&(t=t[0]),t&&t.canvas&&(t=t.canvas),t}const Cn={},On=t=>{const e=Dn(t);return Object.values(Cn).filter((t=>t.canvas===e)).pop()};function An(t,e,i){const s=Object.keys(t);for(const n of s){const s=+n;if(s>=e){const o=t[n];delete t[n],(i>0||s>e)&&(t[s+i]=o)}}}class Tn{static defaults=ue;static instances=Cn;static overrides=re;static registry=nn;static version="4.5.1";static getChart=On;static register(...t){nn.add(...t),Ln()}static unregister(...t){nn.remove(...t),Ln()}constructor(t,e){const s=this.config=new _n(e),n=Dn(t),o=On(n);if(o)throw new Error("Canvas is already in use. Chart with ID '"+o.id+"' must be destroyed before the canvas with ID '"+o.canvas.id+"' can be reused.");const a=s.createResolver(s.chartOptionScopes(),this.getContext());this.platform=new(s.platform||Ps(n)),this.platform.updateConfig(s);const r=this.platform.acquireContext(n,a.aspectRatio),l=r&&r.canvas,h=l&&l.height,c=l&&l.width;this.id=i(),this.ctx=r,this.canvas=l,this.width=c,this.height=h,this._options=a,this._aspectRatio=this.aspectRatio,this._layers=[],this._metasets=[],this._stacks=void 0,this.boxes=[],this.currentDevicePixelRatio=void 0,this.chartArea=void 0,this._active=[],this._lastEvent=void 0,this._listeners={},this._responsiveListeners=void 0,this._sortedMetasets=[],this.scales={},this._plugins=new on,this.$proxies={},this._hiddenIndices={},this.attached=!1,this._animationsDisabled=void 0,this.$context=void 0,this._doResize=dt((t=>this.update(t)),a.resizeDelay||0),this._dataChanges=[],Cn[this.id]=this,r&&l?(bt.listen(this,"complete",Sn),bt.listen(this,"progress",Pn),this._initialize(),this.attached&&this.update()):console.error("Failed to create chart: can't acquire context from the given item")}get aspectRatio(){const{options:{aspectRatio:t,maintainAspectRatio:e},width:i,height:n,_aspectRatio:o}=this;return s(t)?e&&o?o:n?i/n:null:t}get data(){return this.config.data}set data(t){this.config.data=t}get options(){return this._options}set options(t){this.config.options=t}get registry(){return nn}_initialize(){return this.notifyPlugins("beforeInit"),this.options.responsive?this.resize():ke(this,this.options.devicePixelRatio),this.bindEvents(),this.notifyPlugins("afterInit"),this}clear(){return Te(this.canvas,this.ctx),this}stop(){return bt.stop(this),this}resize(t,e){bt.running(this)?this._resizeBeforeDraw={width:t,height:e}:this._resize(t,e)}_resize(t,e){const i=this.options,s=this.canvas,n=i.maintainAspectRatio&&this.aspectRatio,o=this.platform.getMaximumSize(s,t,e,n),a=i.devicePixelRatio||this.platform.getDevicePixelRatio(),r=this.width?"resize":"attach";this.width=o.width,this.height=o.height,this._aspectRatio=this.aspectRatio,ke(this,a,!0)&&(this.notifyPlugins("resize",{size:o}),d(i.onResize,[this,o],this),this.attached&&this._doResize(r)&&this.render())}ensureScalesHaveIDs(){u(this.options.scales||{},((t,e)=>{t.id=e}))}buildOrUpdateScales(){const t=this.options,e=t.scales,i=this.scales,s=Object.keys(i).reduce(((t,e)=>(t[e]=!1,t)),{});let n=[];e&&(n=n.concat(Object.keys(e).map((t=>{const i=e[t],s=cn(t,i),n="r"===s,o="x"===s;return{options:i,dposition:n?"chartArea":o?"bottom":"left",dtype:n?"radialLinear":o?"category":"linear"}})))),u(n,(e=>{const n=e.options,o=n.id,a=cn(o,n),r=l(n.type,e.dtype);void 0!==n.position&&wn(n.position,a)===wn(e.dposition)||(n.position=e.dposition),s[o]=!0;let h=null;if(o in i&&i[o].type===r)h=i[o];else{h=new(nn.getScale(r))({id:o,type:r,ctx:this.ctx,chart:this}),i[h.id]=h}h.init(n,t)})),u(s,((t,e)=>{t||delete i[e]})),u(i,(t=>{ls.configure(this,t,t.options),ls.addBox(this,t)}))}_updateMetasets(){const t=this._metasets,e=this.data.datasets.length,i=t.length;if(t.sort(((t,e)=>t.index-e.index)),i>e){for(let t=e;t<i;++t)this._destroyDatasetMeta(t);t.splice(e,i-e)}this._sortedMetasets=t.slice(0).sort(kn("order","index"))}_removeUnreferencedMetasets(){const{_metasets:t,data:{datasets:e}}=this;t.length>e.length&&delete this._stacks,t.forEach(((t,i)=>{0===e.filter((e=>e===t._dataset)).length&&this._destroyDatasetMeta(i)}))}buildOrUpdateControllers(){const t=[],e=this.data.datasets;let i,s;for(this._removeUnreferencedMetasets(),i=0,s=e.length;i<s;i++){const s=e[i];let n=this.getDatasetMeta(i);const o=s.type||this.config.type;if(n.type&&n.type!==o&&(this._destroyDatasetMeta(i),n=this.getDatasetMeta(i)),n.type=o,n.indexAxis=s.indexAxis||ln(o,this.options),n.order=s.order||0,n.index=i,n.label=""+s.label,n.visible=this.isDatasetVisible(i),n.controller)n.controller.updateIndex(i),n.controller.linkScales();else{const e=nn.getController(o),{datasetElementType:s,dataElementType:a}=ue.datasets[o];Object.assign(e,{dataElementType:nn.getElement(a),datasetElementType:s&&nn.getElement(s)}),n.controller=new e(this,i),t.push(n.controller)}}return this._updateMetasets(),t}_resetElements(){u(this.data.datasets,((t,e)=>{this.getDatasetMeta(e).controller.reset()}),this)}reset(){this._resetElements(),this.notifyPlugins("reset")}update(t){const e=this.config;e.update();const i=this._options=e.createResolver(e.chartOptionScopes(),this.getContext()),s=this._animationsDisabled=!i.animation;if(this._updateScales(),this._checkEventBindings(),this._updateHiddenIndices(),this._plugins.invalidate(),!1===this.notifyPlugins("beforeUpdate",{mode:t,cancelable:!0}))return;const n=this.buildOrUpdateControllers();this.notifyPlugins("beforeElementsUpdate");let o=0;for(let t=0,e=this.data.datasets.length;t<e;t++){const{controller:e}=this.getDatasetMeta(t),i=!s&&-1===n.indexOf(e);e.buildOrUpdateElements(i),o=Math.max(+e.getMaxOverflow(),o)}o=this._minPadding=i.layout.autoPadding?o:0,this._updateLayout(o),s||u(n,(t=>{t.reset()})),this._updateDatasets(t),this.notifyPlugins("afterUpdate",{mode:t}),this._layers.sort(kn("z","_idx"));const{_active:a,_lastEvent:r}=this;r?this._eventHandler(r,!0):a.length&&this._updateHoverStyles(a,a,!0),this.render()}_updateScales(){u(this.scales,(t=>{ls.removeBox(this,t)})),this.ensureScalesHaveIDs(),this.buildOrUpdateScales()}_checkEventBindings(){const t=this.options,e=new Set(Object.keys(this._listeners)),i=new Set(t.events);P(e,i)&&!!this._responsiveListeners===t.responsive||(this.unbindEvents(),this.bindEvents())}_updateHiddenIndices(){const{_hiddenIndices:t}=this,e=this._getUniformDataChanges()||[];for(const{method:i,start:s,count:n}of e){An(t,s,"_removeElements"===i?-n:n)}}_getUniformDataChanges(){const t=this._dataChanges;if(!t||!t.length)return;this._dataChanges=[];const e=this.data.datasets.length,i=e=>new Set(t.filter((t=>t[0]===e)).map(((t,e)=>e+","+t.splice(1).join(",")))),s=i(0);for(let t=1;t<e;t++)if(!P(s,i(t)))return;return Array.from(s).map((t=>t.split(","))).map((t=>({method:t[1],start:+t[2],count:+t[3]})))}_updateLayout(t){if(!1===this.notifyPlugins("beforeLayout",{cancelable:!0}))return;ls.update(this,this.width,this.height,t);const e=this.chartArea,i=e.width<=0||e.height<=0;this._layers=[],u(this.boxes,(t=>{i&&"chartArea"===t.position||(t.configure&&t.configure(),this._layers.push(...t._layers()))}),this),this._layers.forEach(((t,e)=>{t._idx=e})),this.notifyPlugins("afterLayout")}_updateDatasets(t){if(!1!==this.notifyPlugins("beforeDatasetsUpdate",{mode:t,cancelable:!0})){for(let t=0,e=this.data.datasets.length;t<e;++t)this.getDatasetMeta(t).controller.configure();for(let e=0,i=this.data.datasets.length;e<i;++e)this._updateDataset(e,S(t)?t({datasetIndex:e}):t);this.notifyPlugins("afterDatasetsUpdate",{mode:t})}}_updateDataset(t,e){const i=this.getDatasetMeta(t),s={meta:i,index:t,mode:e,cancelable:!0};!1!==this.notifyPlugins("beforeDatasetUpdate",s)&&(i.controller._update(e),s.cancelable=!1,this.notifyPlugins("afterDatasetUpdate",s))}render(){!1!==this.notifyPlugins("beforeRender",{cancelable:!0})&&(bt.has(this)?this.attached&&!bt.running(this)&&bt.start(this):(this.draw(),Sn({chart:this})))}draw(){let t;if(this._resizeBeforeDraw){const{width:t,height:e}=this._resizeBeforeDraw;this._resizeBeforeDraw=null,this._resize(t,e)}if(this.clear(),this.width<=0||this.height<=0)return;if(!1===this.notifyPlugins("beforeDraw",{cancelable:!0}))return;const e=this._layers;for(t=0;t<e.length&&e[t].z<=0;++t)e[t].draw(this.chartArea);for(this._drawDatasets();t<e.length;++t)e[t].draw(this.chartArea);this.notifyPlugins("afterDraw")}_getSortedDatasetMetas(t){const e=this._sortedMetasets,i=[];let s,n;for(s=0,n=e.length;s<n;++s){const n=e[s];t&&!n.visible||i.push(n)}return i}getSortedVisibleDatasetMetas(){return this._getSortedDatasetMetas(!0)}_drawDatasets(){if(!1===this.notifyPlugins("beforeDatasetsDraw",{cancelable:!0}))return;const t=this.getSortedVisibleDatasetMetas();for(let e=t.length-1;e>=0;--e)this._drawDataset(t[e]);this.notifyPlugins("afterDatasetsDraw")}_drawDataset(t){const e=this.ctx,i={meta:t,index:t.index,cancelable:!0},s=Ni(this,t);!1!==this.notifyPlugins("beforeDatasetDraw",i)&&(s&&Ie(e,s),t.controller.draw(),s&&ze(e),i.cancelable=!1,this.notifyPlugins("afterDatasetDraw",i))}isPointInArea(t){return Re(t,this.chartArea,this._minPadding)}getElementsAtEventForMode(t,e,i,s){const n=Ki.modes[e];return"function"==typeof n?n(this,t,i,s):[]}getDatasetMeta(t){const e=this.data.datasets[t],i=this._metasets;let s=i.filter((t=>t&&t._dataset===e)).pop();return s||(s={type:null,data:[],dataset:null,controller:null,hidden:null,xAxisID:null,yAxisID:null,order:e&&e.order||0,index:t,_dataset:e,_parsed:[],_sorted:!1},i.push(s)),s}getContext(){return this.$context||(this.$context=Ci(null,{chart:this,type:"chart"}))}getVisibleDatasetCount(){return this.getSortedVisibleDatasetMetas().length}isDatasetVisible(t){const e=this.data.datasets[t];if(!e)return!1;const i=this.getDatasetMeta(t);return"boolean"==typeof i.hidden?!i.hidden:!e.hidden}setDatasetVisibility(t,e){this.getDatasetMeta(t).hidden=!e}toggleDataVisibility(t){this._hiddenIndices[t]=!this._hiddenIndices[t]}getDataVisibility(t){return!this._hiddenIndices[t]}_updateVisibility(t,e,i){const s=i?"show":"hide",n=this.getDatasetMeta(t),o=n.controller._resolveAnimations(void 0,s);k(e)?(n.data[e].hidden=!i,this.update()):(this.setDatasetVisibility(t,i),o.update(n,{visible:i}),this.update((e=>e.datasetIndex===t?s:void 0)))}hide(t,e){this._updateVisibility(t,e,!1)}show(t,e){this._updateVisibility(t,e,!0)}_destroyDatasetMeta(t){const e=this._metasets[t];e&&e.controller&&e.controller._destroy(),delete this._metasets[t]}_stop(){let t,e;for(this.stop(),bt.remove(this),t=0,e=this.data.datasets.length;t<e;++t)this._destroyDatasetMeta(t)}destroy(){this.notifyPlugins("beforeDestroy");const{canvas:t,ctx:e}=this;this._stop(),this.config.clearCache(),t&&(this.unbindEvents(),Te(t,e),this.platform.releaseContext(e),this.canvas=null,this.ctx=null),delete Cn[this.id],this.notifyPlugins("afterDestroy")}toBase64Image(...t){return this.canvas.toDataURL(...t)}bindEvents(){this.bindUserEvents(),this.options.responsive?this.bindResponsiveEvents():this.attached=!0}bindUserEvents(){const t=this._listeners,e=this.platform,i=(i,s)=>{e.addEventListener(this,i,s),t[i]=s},s=(t,e,i)=>{t.offsetX=e,t.offsetY=i,this._eventHandler(t)};u(this.options.events,(t=>i(t,s)))}bindResponsiveEvents(){this._responsiveListeners||(this._responsiveListeners={});const t=this._responsiveListeners,e=this.platform,i=(i,s)=>{e.addEventListener(this,i,s),t[i]=s},s=(i,s)=>{t[i]&&(e.removeEventListener(this,i,s),delete t[i])},n=(t,e)=>{this.canvas&&this.resize(t,e)};let o;const a=()=>{s("attach",a),this.attached=!0,this.resize(),i("resize",n),i("detach",o)};o=()=>{this.attached=!1,s("resize",n),this._stop(),this._resize(0,0),i("attach",a)},e.isAttached(this.canvas)?a():o()}unbindEvents(){u(this._listeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._listeners={},u(this._responsiveListeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._responsiveListeners=void 0}updateHoverStyle(t,e,i){const s=i?"set":"remove";let n,o,a,r;for("dataset"===e&&(n=this.getDatasetMeta(t[0].datasetIndex),n.controller["_"+s+"DatasetHoverStyle"]()),a=0,r=t.length;a<r;++a){o=t[a];const e=o&&this.getDatasetMeta(o.datasetIndex).controller;e&&e[s+"HoverStyle"](o.element,o.datasetIndex,o.index)}}getActiveElements(){return this._active||[]}setActiveElements(t){const e=this._active||[],i=t.map((({datasetIndex:t,index:e})=>{const i=this.getDatasetMeta(t);if(!i)throw new Error("No dataset found at index "+t);return{datasetIndex:t,element:i.data[e],index:e}}));!f(i,e)&&(this._active=i,this._lastEvent=null,this._updateHoverStyles(i,e))}notifyPlugins(t,e,i){return this._plugins.notify(this,t,e,i)}isPluginEnabled(t){return 1===this._plugins._cache.filter((e=>e.plugin.id===t)).length}_updateHoverStyles(t,e,i){const s=this.options.hover,n=(t,e)=>t.filter((t=>!e.some((e=>t.datasetIndex===e.datasetIndex&&t.index===e.index)))),o=n(e,t),a=i?t:n(t,e);o.length&&this.updateHoverStyle(o,s.mode,!1),a.length&&s.mode&&this.updateHoverStyle(a,s.mode,!0)}_eventHandler(t,e){const i={event:t,replay:e,cancelable:!0,inChartArea:this.isPointInArea(t)},s=e=>(e.options.events||this.options.events).includes(t.native.type);if(!1===this.notifyPlugins("beforeEvent",i,s))return;const n=this._handleEvent(t,e,i.inChartArea);return i.cancelable=!1,this.notifyPlugins("afterEvent",i,s),(n||i.changed)&&this.render(),this}_handleEvent(t,e,i){const{_active:s=[],options:n}=this,o=e,a=this._getActiveElements(t,s,i,o),r=D(t),l=function(t,e,i,s){return i&&"mouseout"!==t.type?s?e:t:null}(t,this._lastEvent,i,r);i&&(this._lastEvent=null,d(n.onHover,[t,a,this],this),r&&d(n.onClick,[t,a,this],this));const h=!f(a,s);return(h||e)&&(this._active=a,this._updateHoverStyles(a,s,e)),this._lastEvent=l,h}_getActiveElements(t,e,i,s){if("mouseout"===t.type)return[];if(!i)return e;const n=this.options.hover;return this.getElementsAtEventForMode(t,n.mode,n,s)}}function Ln(){return u(Tn.instances,(t=>t._plugins.invalidate()))}function En(){throw new Error("This method is not implemented: Check that a complete date adapter is provided.")}class Rn{static override(t){Object.assign(Rn.prototype,t)}options;constructor(t){this.options=t||{}}init(){}formats(){return En()}parse(){return En()}format(){return En()}add(){return En()}diff(){return En()}startOf(){return En()}endOf(){return En()}}var In={_date:Rn};function zn(t){const e=t.iScale,i=function(t,e){if(!t._cache.$bar){const i=t.getMatchingVisibleMetas(e);let s=[];for(let e=0,n=i.length;e<n;e++)s=s.concat(i[e].controller.getAllParsedValues(t));t._cache.$bar=lt(s.sort(((t,e)=>t-e)))}return t._cache.$bar}(e,t.type);let s,n,o,a,r=e._length;const l=()=>{32767!==o&&-32768!==o&&(k(a)&&(r=Math.min(r,Math.abs(o-a)||r)),a=o)};for(s=0,n=i.length;s<n;++s)o=e.getPixelForValue(i[s]),l();for(a=void 0,s=0,n=e.ticks.length;s<n;++s)o=e.getPixelForTick(s),l();return r}function Fn(t,e,i,s){return n(t)?function(t,e,i,s){const n=i.parse(t[0],s),o=i.parse(t[1],s),a=Math.min(n,o),r=Math.max(n,o);let l=a,h=r;Math.abs(a)>Math.abs(r)&&(l=r,h=a),e[i.axis]=h,e._custom={barStart:l,barEnd:h,start:n,end:o,min:a,max:r}}(t,e,i,s):e[i.axis]=i.parse(t,s),e}function Vn(t,e,i,s){const n=t.iScale,o=t.vScale,a=n.getLabels(),r=n===o,l=[];let h,c,d,u;for(h=i,c=i+s;h<c;++h)u=e[h],d={},d[n.axis]=r||n.parse(a[h],h),l.push(Fn(u,d,o,h));return l}function Bn(t){return t&&void 0!==t.barStart&&void 0!==t.barEnd}function Wn(t,e,i,s){let n=e.borderSkipped;const o={};if(!n)return void(t.borderSkipped=o);if(!0===n)return void(t.borderSkipped={top:!0,right:!0,bottom:!0,left:!0});const{start:a,end:r,reverse:l,top:h,bottom:c}=function(t){let e,i,s,n,o;return t.horizontal?(e=t.base>t.x,i="left",s="right"):(e=t.base<t.y,i="bottom",s="top"),e?(n="end",o="start"):(n="start",o="end"),{start:i,end:s,reverse:e,top:n,bottom:o}}(t);"middle"===n&&i&&(t.enableBorderRadius=!0,(i._top||0)===s?n=h:(i._bottom||0)===s?n=c:(o[Nn(c,a,r,l)]=!0,n=h)),o[Nn(n,a,r,l)]=!0,t.borderSkipped=o}function Nn(t,e,i,s){var n,o,a;return s?(a=i,t=Hn(t=(n=t)===(o=e)?a:n===a?o:n,i,e)):t=Hn(t,e,i),t}function Hn(t,e,i){return"start"===t?e:"end"===t?i:t}function jn(t,{inflateAmount:e},i){t.inflateAmount="auto"===e?1===i?.33:0:e}class $n extends js{static id="doughnut";static defaults={datasetElementType:!1,dataElementType:"arc",animation:{animateRotate:!0,animateScale:!1},animations:{numbers:{type:"number",properties:["circumference","endAngle","innerRadius","outerRadius","startAngle","x","y","offset","borderWidth","spacing"]}},cutout:"50%",rotation:0,circumference:360,radius:"100%",spacing:0,indexAxis:"r"};static descriptors={_scriptable:t=>"spacing"!==t,_indexable:t=>"spacing"!==t&&!t.startsWith("borderDash")&&!t.startsWith("hoverBorderDash")};static overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data,{labels:{pointStyle:i,textAlign:s,color:n,useBorderRadius:o,borderRadius:a}}=t.legend.options;return e.labels.length&&e.datasets.length?e.labels.map(((e,r)=>{const l=t.getDatasetMeta(0).controller.getStyle(r);return{text:e,fillStyle:l.backgroundColor,fontColor:n,hidden:!t.getDataVisibility(r),lineDash:l.borderDash,lineDashOffset:l.borderDashOffset,lineJoin:l.borderJoinStyle,lineWidth:l.borderWidth,strokeStyle:l.borderColor,textAlign:s,pointStyle:i,borderRadius:o&&(a||l.borderRadius),index:r}})):[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}}};constructor(t,e){super(t,e),this.enableOptionSharing=!0,this.innerRadius=void 0,this.outerRadius=void 0,this.offsetX=void 0,this.offsetY=void 0}linkScales(){}parse(t,e){const i=this.getDataset().data,s=this._cachedMeta;if(!1===this._parsing)s._parsed=i;else{let n,a,r=t=>+i[t];if(o(i[t])){const{key:t="value"}=this._parsing;r=e=>+M(i[e],t)}for(n=t,a=t+e;n<a;++n)s._parsed[n]=r(n)}}_getRotation(){return $(this.options.rotation-90)}_getCircumference(){return $(this.options.circumference)}_getRotationExtents(){let t=O,e=-O;for(let i=0;i<this.chart.data.datasets.length;++i)if(this.chart.isDatasetVisible(i)&&this.chart.getDatasetMeta(i).type===this._type){const s=this.chart.getDatasetMeta(i).controller,n=s._getRotation(),o=s._getCircumference();t=Math.min(t,n),e=Math.max(e,n+o)}return{rotation:t,circumference:e-t}}update(t){const e=this.chart,{chartArea:i}=e,s=this._cachedMeta,n=s.data,o=this.getMaxBorderWidth()+this.getMaxOffset(n)+this.options.spacing,a=Math.max((Math.min(i.width,i.height)-o)/2,0),r=Math.min(h(this.options.cutout,a),1),l=this._getRingWeight(this.index),{circumference:d,rotation:u}=this._getRotationExtents(),{ratioX:f,ratioY:g,offsetX:p,offsetY:m}=function(t,e,i){let s=1,n=1,o=0,a=0;if(e<O){const r=t,l=r+e,h=Math.cos(r),c=Math.sin(r),d=Math.cos(l),u=Math.sin(l),f=(t,e,s)=>J(t,r,l,!0)?1:Math.max(e,e*i,s,s*i),g=(t,e,s)=>J(t,r,l,!0)?-1:Math.min(e,e*i,s,s*i),p=f(0,h,d),m=f(E,c,u),x=g(C,h,d),b=g(C+E,c,u);s=(p-x)/2,n=(m-b)/2,o=-(p+x)/2,a=-(m+b)/2}return{ratioX:s,ratioY:n,offsetX:o,offsetY:a}}(u,d,r),x=(i.width-o)/f,b=(i.height-o)/g,_=Math.max(Math.min(x,b)/2,0),y=c(this.options.radius,_),v=(y-Math.max(y*r,0))/this._getVisibleDatasetWeightTotal();this.offsetX=p*y,this.offsetY=m*y,s.total=this.calculateTotal(),this.outerRadius=y-v*this._getRingWeightOffset(this.index),this.innerRadius=Math.max(this.outerRadius-v*l,0),this.updateElements(n,0,n.length,t)}_circumference(t,e){const i=this.options,s=this._cachedMeta,n=this._getCircumference();return e&&i.animation.animateRotate||!this.chart.getDataVisibility(t)||null===s._parsed[t]||s.data[t].hidden?0:this.calculateCircumference(s._parsed[t]*n/O)}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.chartArea,r=o.options.animation,l=(a.left+a.right)/2,h=(a.top+a.bottom)/2,c=n&&r.animateScale,d=c?0:this.innerRadius,u=c?0:this.outerRadius,{sharedOptions:f,includeOptions:g}=this._getSharedOptions(e,s);let p,m=this._getRotation();for(p=0;p<e;++p)m+=this._circumference(p,n);for(p=e;p<e+i;++p){const e=this._circumference(p,n),i=t[p],o={x:l+this.offsetX,y:h+this.offsetY,startAngle:m,endAngle:m+e,circumference:e,outerRadius:u,innerRadius:d};g&&(o.options=f||this.resolveDataElementOptions(p,i.active?"active":s)),m+=e,this.updateElement(i,p,o,s)}}calculateTotal(){const t=this._cachedMeta,e=t.data;let i,s=0;for(i=0;i<e.length;i++){const n=t._parsed[i];null===n||isNaN(n)||!this.chart.getDataVisibility(i)||e[i].hidden||(s+=Math.abs(n))}return s}calculateCircumference(t){const e=this._cachedMeta.total;return e>0&&!isNaN(t)?O*(Math.abs(t)/e):0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t],i.options.locale);return{label:s[t]||"",value:n}}getMaxBorderWidth(t){let e=0;const i=this.chart;let s,n,o,a,r;if(!t)for(s=0,n=i.data.datasets.length;s<n;++s)if(i.isDatasetVisible(s)){o=i.getDatasetMeta(s),t=o.data,a=o.controller;break}if(!t)return 0;for(s=0,n=t.length;s<n;++s)r=a.resolveDataElementOptions(s),"inner"!==r.borderAlign&&(e=Math.max(e,r.borderWidth||0,r.hoverBorderWidth||0));return e}getMaxOffset(t){let e=0;for(let i=0,s=t.length;i<s;++i){const t=this.resolveDataElementOptions(i);e=Math.max(e,t.offset||0,t.hoverOffset||0)}return e}_getRingWeightOffset(t){let e=0;for(let i=0;i<t;++i)this.chart.isDatasetVisible(i)&&(e+=this._getRingWeight(i));return e}_getRingWeight(t){return Math.max(l(this.chart.data.datasets[t].weight,1),0)}_getVisibleDatasetWeightTotal(){return this._getRingWeightOffset(this.chart.data.datasets.length)||1}}class Yn extends js{static id="polarArea";static defaults={dataElementType:"arc",animation:{animateRotate:!0,animateScale:!0},animations:{numbers:{type:"number",properties:["x","y","startAngle","endAngle","innerRadius","outerRadius"]}},indexAxis:"r",startAngle:0};static overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data;if(e.labels.length&&e.datasets.length){const{labels:{pointStyle:i,color:s}}=t.legend.options;return e.labels.map(((e,n)=>{const o=t.getDatasetMeta(0).controller.getStyle(n);return{text:e,fillStyle:o.backgroundColor,strokeStyle:o.borderColor,fontColor:s,lineWidth:o.borderWidth,pointStyle:i,hidden:!t.getDataVisibility(n),index:n}}))}return[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}},scales:{r:{type:"radialLinear",angleLines:{display:!1},beginAtZero:!0,grid:{circular:!0},pointLabels:{display:!1},startAngle:0}}};constructor(t,e){super(t,e),this.innerRadius=void 0,this.outerRadius=void 0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t].r,i.options.locale);return{label:s[t]||"",value:n}}parseObjectData(t,e,i,s){return ii.bind(this)(t,e,i,s)}update(t){const e=this._cachedMeta.data;this._updateRadius(),this.updateElements(e,0,e.length,t)}getMinMax(){const t=this._cachedMeta,e={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY};return t.data.forEach(((t,i)=>{const s=this.getParsed(i).r;!isNaN(s)&&this.chart.getDataVisibility(i)&&(s<e.min&&(e.min=s),s>e.max&&(e.max=s))})),e}_updateRadius(){const t=this.chart,e=t.chartArea,i=t.options,s=Math.min(e.right-e.left,e.bottom-e.top),n=Math.max(s/2,0),o=(n-Math.max(i.cutoutPercentage?n/100*i.cutoutPercentage:1,0))/t.getVisibleDatasetCount();this.outerRadius=n-o*this.index,this.innerRadius=this.outerRadius-o}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.options.animation,r=this._cachedMeta.rScale,l=r.xCenter,h=r.yCenter,c=r.getIndexAngle(0)-.5*C;let d,u=c;const f=360/this.countVisibleElements();for(d=0;d<e;++d)u+=this._computeAngle(d,s,f);for(d=e;d<e+i;d++){const e=t[d];let i=u,g=u+this._computeAngle(d,s,f),p=o.getDataVisibility(d)?r.getDistanceFromCenterForValue(this.getParsed(d).r):0;u=g,n&&(a.animateScale&&(p=0),a.animateRotate&&(i=g=c));const m={x:l,y:h,innerRadius:0,outerRadius:p,startAngle:i,endAngle:g,options:this.resolveDataElementOptions(d,e.active?"active":s)};this.updateElement(e,d,m,s)}}countVisibleElements(){const t=this._cachedMeta;let e=0;return t.data.forEach(((t,i)=>{!isNaN(this.getParsed(i).r)&&this.chart.getDataVisibility(i)&&e++})),e}_computeAngle(t,e,i){return this.chart.getDataVisibility(t)?$(this.resolveDataElementOptions(t,e).angle||i):0}}var Un=Object.freeze({__proto__:null,BarController:class extends js{static id="bar";static defaults={datasetElementType:!1,dataElementType:"bar",categoryPercentage:.8,barPercentage:.9,grouped:!0,animations:{numbers:{type:"number",properties:["x","y","base","width","height"]}}};static overrides={scales:{_index_:{type:"category",offset:!0,grid:{offset:!0}},_value_:{type:"linear",beginAtZero:!0}}};parsePrimitiveData(t,e,i,s){return Vn(t,e,i,s)}parseArrayData(t,e,i,s){return Vn(t,e,i,s)}parseObjectData(t,e,i,s){const{iScale:n,vScale:o}=t,{xAxisKey:a="x",yAxisKey:r="y"}=this._parsing,l="x"===n.axis?a:r,h="x"===o.axis?a:r,c=[];let d,u,f,g;for(d=i,u=i+s;d<u;++d)g=e[d],f={},f[n.axis]=n.parse(M(g,l),d),c.push(Fn(M(g,h),f,o,d));return c}updateRangeFromParsed(t,e,i,s){super.updateRangeFromParsed(t,e,i,s);const n=i._custom;n&&e===this._cachedMeta.vScale&&(t.min=Math.min(t.min,n.min),t.max=Math.max(t.max,n.max))}getMaxOverflow(){return 0}getLabelAndValue(t){const e=this._cachedMeta,{iScale:i,vScale:s}=e,n=this.getParsed(t),o=n._custom,a=Bn(o)?"["+o.start+", "+o.end+"]":""+s.getLabelForValue(n[s.axis]);return{label:""+i.getLabelForValue(n[i.axis]),value:a}}initialize(){this.enableOptionSharing=!0,super.initialize();this._cachedMeta.stack=this.getDataset().stack}update(t){const e=this._cachedMeta;this.updateElements(e.data,0,e.data.length,t)}updateElements(t,e,i,n){const o="reset"===n,{index:a,_cachedMeta:{vScale:r}}=this,l=r.getBasePixel(),h=r.isHorizontal(),c=this._getRuler(),{sharedOptions:d,includeOptions:u}=this._getSharedOptions(e,n);for(let f=e;f<e+i;f++){const e=this.getParsed(f),i=o||s(e[r.axis])?{base:l,head:l}:this._calculateBarValuePixels(f),g=this._calculateBarIndexPixels(f,c),p=(e._stacks||{})[r.axis],m={horizontal:h,base:i.base,enableBorderRadius:!p||Bn(e._custom)||a===p._top||a===p._bottom,x:h?i.head:g.center,y:h?g.center:i.head,height:h?g.size:Math.abs(i.size),width:h?Math.abs(i.size):g.size};u&&(m.options=d||this.resolveDataElementOptions(f,t[f].active?"active":n));const x=m.options||t[f].options;Wn(m,x,p,a),jn(m,x,c.ratio),this.updateElement(t[f],f,m,n)}}_getStacks(t,e){const{iScale:i}=this._cachedMeta,n=i.getMatchingVisibleMetas(this._type).filter((t=>t.controller.options.grouped)),o=i.options.stacked,a=[],r=this._cachedMeta.controller.getParsed(e),l=r&&r[i.axis],h=t=>{const e=t._parsed.find((t=>t[i.axis]===l)),n=e&&e[t.vScale.axis];if(s(n)||isNaN(n))return!0};for(const i of n)if((void 0===e||!h(i))&&((!1===o||-1===a.indexOf(i.stack)||void 0===o&&void 0===i.stack)&&a.push(i.stack),i.index===t))break;return a.length||a.push(void 0),a}_getStackCount(t){return this._getStacks(void 0,t).length}_getAxisCount(){return this._getAxis().length}getFirstScaleIdForIndexAxis(){const t=this.chart.scales,e=this.chart.options.indexAxis;return Object.keys(t).filter((i=>t[i].axis===e)).shift()}_getAxis(){const t={},e=this.getFirstScaleIdForIndexAxis();for(const i of this.chart.data.datasets)t[l("x"===this.chart.options.indexAxis?i.xAxisID:i.yAxisID,e)]=!0;return Object.keys(t)}_getStackIndex(t,e,i){const s=this._getStacks(t,i),n=void 0!==e?s.indexOf(e):-1;return-1===n?s.length-1:n}_getRuler(){const t=this.options,e=this._cachedMeta,i=e.iScale,s=[];let n,o;for(n=0,o=e.data.length;n<o;++n)s.push(i.getPixelForValue(this.getParsed(n)[i.axis],n));const a=t.barThickness;return{min:a||zn(e),pixels:s,start:i._startPixel,end:i._endPixel,stackCount:this._getStackCount(),scale:i,grouped:t.grouped,ratio:a?1:t.categoryPercentage*t.barPercentage}}_calculateBarValuePixels(t){const{_cachedMeta:{vScale:e,_stacked:i,index:n},options:{base:o,minBarLength:a}}=this,r=o||0,l=this.getParsed(t),h=l._custom,c=Bn(h);let d,u,f=l[e.axis],g=0,p=i?this.applyStack(e,l,i):f;p!==f&&(g=p-f,p=f),c&&(f=h.barStart,p=h.barEnd-h.barStart,0!==f&&F(f)!==F(h.barEnd)&&(g=0),g+=f);const m=s(o)||c?g:o;let x=e.getPixelForValue(m);if(d=this.chart.getDataVisibility(t)?e.getPixelForValue(g+p):x,u=d-x,Math.abs(u)<a){u=function(t,e,i){return 0!==t?F(t):(e.isHorizontal()?1:-1)*(e.min>=i?1:-1)}(u,e,r)*a,f===r&&(x-=u/2);const t=e.getPixelForDecimal(0),s=e.getPixelForDecimal(1),o=Math.min(t,s),h=Math.max(t,s);x=Math.max(Math.min(x,h),o),d=x+u,i&&!c&&(l._stacks[e.axis]._visualValues[n]=e.getValueForPixel(d)-e.getValueForPixel(x))}if(x===e.getPixelForValue(r)){const t=F(u)*e.getLineWidthForValue(r)/2;x+=t,u-=t}return{size:u,base:x,head:d,center:d+u/2}}_calculateBarIndexPixels(t,e){const i=e.scale,n=this.options,o=n.skipNull,a=l(n.maxBarThickness,1/0);let r,h;const c=this._getAxisCount();if(e.grouped){const i=o?this._getStackCount(t):e.stackCount,d="flex"===n.barThickness?function(t,e,i,s){const n=e.pixels,o=n[t];let a=t>0?n[t-1]:null,r=t<n.length-1?n[t+1]:null;const l=i.categoryPercentage;null===a&&(a=o-(null===r?e.end-e.start:r-o)),null===r&&(r=o+o-a);const h=o-(o-Math.min(a,r))/2*l;return{chunk:Math.abs(r-a)/2*l/s,ratio:i.barPercentage,start:h}}(t,e,n,i*c):function(t,e,i,n){const o=i.barThickness;let a,r;return s(o)?(a=e.min*i.categoryPercentage,r=i.barPercentage):(a=o*n,r=1),{chunk:a/n,ratio:r,start:e.pixels[t]-a/2}}(t,e,n,i*c),u="x"===this.chart.options.indexAxis?this.getDataset().xAxisID:this.getDataset().yAxisID,f=this._getAxis().indexOf(l(u,this.getFirstScaleIdForIndexAxis())),g=this._getStackIndex(this.index,this._cachedMeta.stack,o?t:void 0)+f;r=d.start+d.chunk*g+d.chunk/2,h=Math.min(a,d.chunk*d.ratio)}else r=i.getPixelForValue(this.getParsed(t)[i.axis],t),h=Math.min(a,e.min*e.ratio);return{base:r-h/2,head:r+h/2,center:r,size:h}}draw(){const t=this._cachedMeta,e=t.vScale,i=t.data,s=i.length;let n=0;for(;n<s;++n)null===this.getParsed(n)[e.axis]||i[n].hidden||i[n].draw(this._ctx)}},BubbleController:class extends js{static id="bubble";static defaults={datasetElementType:!1,dataElementType:"point",animations:{numbers:{type:"number",properties:["x","y","borderWidth","radius"]}}};static overrides={scales:{x:{type:"linear"},y:{type:"linear"}}};initialize(){this.enableOptionSharing=!0,super.initialize()}parsePrimitiveData(t,e,i,s){const n=super.parsePrimitiveData(t,e,i,s);for(let t=0;t<n.length;t++)n[t]._custom=this.resolveDataElementOptions(t+i).radius;return n}parseArrayData(t,e,i,s){const n=super.parseArrayData(t,e,i,s);for(let t=0;t<n.length;t++){const s=e[i+t];n[t]._custom=l(s[2],this.resolveDataElementOptions(t+i).radius)}return n}parseObjectData(t,e,i,s){const n=super.parseObjectData(t,e,i,s);for(let t=0;t<n.length;t++){const s=e[i+t];n[t]._custom=l(s&&s.r&&+s.r,this.resolveDataElementOptions(t+i).radius)}return n}getMaxOverflow(){const t=this._cachedMeta.data;let e=0;for(let i=t.length-1;i>=0;--i)e=Math.max(e,t[i].size(this.resolveDataElementOptions(i))/2);return e>0&&e}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart.data.labels||[],{xScale:s,yScale:n}=e,o=this.getParsed(t),a=s.getLabelForValue(o.x),r=n.getLabelForValue(o.y),l=o._custom;return{label:i[t]||"",value:"("+a+", "+r+(l?", "+l:"")+")"}}update(t){const e=this._cachedMeta.data;this.updateElements(e,0,e.length,t)}updateElements(t,e,i,s){const n="reset"===s,{iScale:o,vScale:a}=this._cachedMeta,{sharedOptions:r,includeOptions:l}=this._getSharedOptions(e,s),h=o.axis,c=a.axis;for(let d=e;d<e+i;d++){const e=t[d],i=!n&&this.getParsed(d),u={},f=u[h]=n?o.getPixelForDecimal(.5):o.getPixelForValue(i[h]),g=u[c]=n?a.getBasePixel():a.getPixelForValue(i[c]);u.skip=isNaN(f)||isNaN(g),l&&(u.options=r||this.resolveDataElementOptions(d,e.active?"active":s),n&&(u.options.radius=0)),this.updateElement(e,d,u,s)}}resolveDataElementOptions(t,e){const i=this.getParsed(t);let s=super.resolveDataElementOptions(t,e);s.$shared&&(s=Object.assign({},s,{$shared:!1}));const n=s.radius;return"active"!==e&&(s.radius=0),s.radius+=l(i&&i._custom,n),s}},DoughnutController:$n,LineController:class extends js{static id="line";static defaults={datasetElementType:"line",dataElementType:"point",showLine:!0,spanGaps:!1};static overrides={scales:{_index_:{type:"category"},_value_:{type:"linear"}}};initialize(){this.enableOptionSharing=!0,this.supportsDecimation=!0,super.initialize()}update(t){const e=this._cachedMeta,{dataset:i,data:s=[],_dataset:n}=e,o=this.chart._animationsDisabled;let{start:a,count:r}=pt(e,s,o);this._drawStart=a,this._drawCount=r,mt(e)&&(a=0,r=s.length),i._chart=this.chart,i._datasetIndex=this.index,i._decimated=!!n._decimated,i.points=s;const l=this.resolveDatasetElementOptions(t);this.options.showLine||(l.borderWidth=0),l.segment=this.options.segment,this.updateElement(i,void 0,{animated:!o,options:l},t),this.updateElements(s,a,r,t)}updateElements(t,e,i,n){const o="reset"===n,{iScale:a,vScale:r,_stacked:l,_dataset:h}=this._cachedMeta,{sharedOptions:c,includeOptions:d}=this._getSharedOptions(e,n),u=a.axis,f=r.axis,{spanGaps:g,segment:p}=this.options,m=N(g)?g:Number.POSITIVE_INFINITY,x=this.chart._animationsDisabled||o||"none"===n,b=e+i,_=t.length;let y=e>0&&this.getParsed(e-1);for(let i=0;i<_;++i){const g=t[i],_=x?g:{};if(i<e||i>=b){_.skip=!0;continue}const v=this.getParsed(i),M=s(v[f]),w=_[u]=a.getPixelForValue(v[u],i),k=_[f]=o||M?r.getBasePixel():r.getPixelForValue(l?this.applyStack(r,v,l):v[f],i);_.skip=isNaN(w)||isNaN(k)||M,_.stop=i>0&&Math.abs(v[u]-y[u])>m,p&&(_.parsed=v,_.raw=h.data[i]),d&&(_.options=c||this.resolveDataElementOptions(i,g.active?"active":n)),x||this.updateElement(g,i,_,n),y=v}}getMaxOverflow(){const t=this._cachedMeta,e=t.dataset,i=e.options&&e.options.borderWidth||0,s=t.data||[];if(!s.length)return i;const n=s[0].size(this.resolveDataElementOptions(0)),o=s[s.length-1].size(this.resolveDataElementOptions(s.length-1));return Math.max(i,n,o)/2}draw(){const t=this._cachedMeta;t.dataset.updateControlPoints(this.chart.chartArea,t.iScale.axis),super.draw()}},PieController:class extends $n{static id="pie";static defaults={cutout:0,rotation:0,circumference:360,radius:"100%"}},PolarAreaController:Yn,RadarController:class extends js{static id="radar";static defaults={datasetElementType:"line",dataElementType:"point",indexAxis:"r",showLine:!0,elements:{line:{fill:"start"}}};static overrides={aspectRatio:1,scales:{r:{type:"radialLinear"}}};getLabelAndValue(t){const e=this._cachedMeta.vScale,i=this.getParsed(t);return{label:e.getLabels()[t],value:""+e.getLabelForValue(i[e.axis])}}parseObjectData(t,e,i,s){return ii.bind(this)(t,e,i,s)}update(t){const e=this._cachedMeta,i=e.dataset,s=e.data||[],n=e.iScale.getLabels();if(i.points=s,"resize"!==t){const e=this.resolveDatasetElementOptions(t);this.options.showLine||(e.borderWidth=0);const o={_loop:!0,_fullLoop:n.length===s.length,options:e};this.updateElement(i,void 0,o,t)}this.updateElements(s,0,s.length,t)}updateElements(t,e,i,s){const n=this._cachedMeta.rScale,o="reset"===s;for(let a=e;a<e+i;a++){const e=t[a],i=this.resolveDataElementOptions(a,e.active?"active":s),r=n.getPointPositionForValue(a,this.getParsed(a).r),l=o?n.xCenter:r.x,h=o?n.yCenter:r.y,c={x:l,y:h,angle:r.angle,skip:isNaN(l)||isNaN(h),options:i};this.updateElement(e,a,c,s)}}},ScatterController:class extends js{static id="scatter";static defaults={datasetElementType:!1,dataElementType:"point",showLine:!1,fill:!1};static overrides={interaction:{mode:"point"},scales:{x:{type:"linear"},y:{type:"linear"}}};getLabelAndValue(t){const e=this._cachedMeta,i=this.chart.data.labels||[],{xScale:s,yScale:n}=e,o=this.getParsed(t),a=s.getLabelForValue(o.x),r=n.getLabelForValue(o.y);return{label:i[t]||"",value:"("+a+", 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Path2D,e.path(n,i,s)&&n.closePath()),Jn(t,e.options),t.stroke(n)}(t,e,i,s):function(t,e,i,s){const{segments:n,options:o}=e,a=io(e);for(const r of n)Jn(t,o,r.style),t.beginPath(),a(t,e,r,{start:i,end:i+s-1})&&t.closePath(),t.stroke()}(t,e,i,s)}class oo extends $s{static id="line";static defaults={borderCapStyle:"butt",borderDash:[],borderDashOffset:0,borderJoinStyle:"miter",borderWidth:3,capBezierPoints:!0,cubicInterpolationMode:"default",fill:!1,spanGaps:!1,stepped:!1,tension:0};static defaultRoutes={backgroundColor:"backgroundColor",borderColor:"borderColor"};static descriptors={_scriptable:!0,_indexable:t=>"borderDash"!==t&&"fill"!==t};constructor(t){super(),this.animated=!0,this.options=void 0,this._chart=void 0,this._loop=void 0,this._fullLoop=void 0,this._path=void 0,this._points=void 0,this._segments=void 0,this._decimated=!1,this._pointsUpdated=!1,this._datasetIndex=void 0,t&&Object.assign(this,t)}updateControlPoints(t,e){const i=this.options;if((i.tension||"monotone"===i.cubicInterpolationMode)&&!i.stepped&&!this._pointsUpdated){const s=i.spanGaps?this._loop:this._fullLoop;hi(this._points,i,t,s,e),this._pointsUpdated=!0}}set points(t){this._points=t,delete this._segments,delete this._path,this._pointsUpdated=!1}get points(){return this._points}get segments(){return this._segments||(this._segments=zi(this,this.options.segment))}first(){const t=this.segments,e=this.points;return t.length&&e[t[0].start]}last(){const t=this.segments,e=this.points,i=t.length;return i&&e[t[i-1].end]}interpolate(t,e){const i=this.options,s=t[e],n=this.points,o=Ii(this,{property:e,start:s,end:s});if(!o.length)return;const a=[],r=function(t){return t.stepped?pi:t.tension||"monotone"===t.cubicInterpolationMode?mi:gi}(i);let l,h;for(l=0,h=o.length;l<h;++l){const{start:h,end:c}=o[l],d=n[h],u=n[c];if(d===u){a.push(d);continue}const f=r(d,u,Math.abs((s-d[e])/(u[e]-d[e])),i.stepped);f[e]=t[e],a.push(f)}return 1===a.length?a[0]:a}pathSegment(t,e,i){return io(this)(t,this,e,i)}path(t,e,i){const s=this.segments,n=io(this);let o=this._loop;e=e||0,i=i||this.points.length-e;for(const a of s)o&=n(t,this,a,{start:e,end:e+i-1});return!!o}draw(t,e,i,s){const n=this.options||{};(this.points||[]).length&&n.borderWidth&&(t.save(),no(t,this,i,s),t.restore()),this.animated&&(this._pointsUpdated=!1,this._path=void 0)}}function ao(t,e,i,s){const n=t.options,{[i]:o}=t.getProps([i],s);return Math.abs(e-o)<n.radius+n.hitRadius}function ro(t,e){const{x:i,y:s,base:n,width:o,height:a}=t.getProps(["x","y","base","width","height"],e);let r,l,h,c,d;return t.horizontal?(d=a/2,r=Math.min(i,n),l=Math.max(i,n),h=s-d,c=s+d):(d=o/2,r=i-d,l=i+d,h=Math.min(s,n),c=Math.max(s,n)),{left:r,top:h,right:l,bottom:c}}function lo(t,e,i,s){return t?0:Z(e,i,s)}function ho(t){const e=ro(t),i=e.right-e.left,s=e.bottom-e.top,n=function(t,e,i){const s=t.options.borderWidth,n=t.borderSkipped,o=Mi(s);return{t:lo(n.top,o.top,0,i),r:lo(n.right,o.right,0,e),b:lo(n.bottom,o.bottom,0,i),l:lo(n.left,o.left,0,e)}}(t,i/2,s/2),a=function(t,e,i){const{enableBorderRadius:s}=t.getProps(["enableBorderRadius"]),n=t.options.borderRadius,a=wi(n),r=Math.min(e,i),l=t.borderSkipped,h=s||o(n);return{topLeft:lo(!h||l.top||l.left,a.topLeft,0,r),topRight:lo(!h||l.top||l.right,a.topRight,0,r),bottomLeft:lo(!h||l.bottom||l.left,a.bottomLeft,0,r),bottomRight:lo(!h||l.bottom||l.right,a.bottomRight,0,r)}}(t,i/2,s/2);return{outer:{x:e.left,y:e.top,w:i,h:s,radius:a},inner:{x:e.left+n.l,y:e.top+n.t,w:i-n.l-n.r,h:s-n.t-n.b,radius:{topLeft:Math.max(0,a.topLeft-Math.max(n.t,n.l)),topRight:Math.max(0,a.topRight-Math.max(n.t,n.r)),bottomLeft:Math.max(0,a.bottomLeft-Math.max(n.b,n.l)),bottomRight:Math.max(0,a.bottomRight-Math.max(n.b,n.r))}}}}function co(t,e,i,s){const n=null===e,o=null===i,a=t&&!(n&&o)&&ro(t,s);return a&&(n||tt(e,a.left,a.right))&&(o||tt(i,a.top,a.bottom))}function uo(t,e){t.rect(e.x,e.y,e.w,e.h)}function fo(t,e,i={}){const s=t.x!==i.x?-e:0,n=t.y!==i.y?-e:0,o=(t.x+t.w!==i.x+i.w?e:0)-s,a=(t.y+t.h!==i.y+i.h?e:0)-n;return{x:t.x+s,y:t.y+n,w:t.w+o,h:t.h+a,radius:t.radius}}var go=Object.freeze({__proto__:null,ArcElement:class extends $s{static id="arc";static defaults={borderAlign:"center",borderColor:"#fff",borderDash:[],borderDashOffset:0,borderJoinStyle:void 0,borderRadius:0,borderWidth:2,offset:0,spacing:0,angle:void 0,circular:!0,selfJoin:!1};static defaultRoutes={backgroundColor:"backgroundColor"};static descriptors={_scriptable:!0,_indexable:t=>"borderDash"!==t};circumference;endAngle;fullCircles;innerRadius;outerRadius;pixelMargin;startAngle;constructor(t){super(),this.options=void 0,this.circumference=void 0,this.startAngle=void 0,this.endAngle=void 0,this.innerRadius=void 0,this.outerRadius=void 0,this.pixelMargin=0,this.fullCircles=0,t&&Object.assign(this,t)}inRange(t,e,i){const s=this.getProps(["x","y"],i),{angle:n,distance:o}=X(s,{x:t,y:e}),{startAngle:a,endAngle:r,innerRadius:h,outerRadius:c,circumference:d}=this.getProps(["startAngle","endAngle","innerRadius","outerRadius","circumference"],i),u=(this.options.spacing+this.options.borderWidth)/2,f=l(d,r-a),g=J(n,a,r)&&a!==r,p=f>=O||g,m=tt(o,h+u,c+u);return p&&m}getCenterPoint(t){const{x:e,y:i,startAngle:s,endAngle:n,innerRadius:o,outerRadius:a}=this.getProps(["x","y","startAngle","endAngle","innerRadius","outerRadius"],t),{offset:r,spacing:l}=this.options,h=(s+n)/2,c=(o+a+l+r)/2;return{x:e+Math.cos(h)*c,y:i+Math.sin(h)*c}}tooltipPosition(t){return this.getCenterPoint(t)}draw(t){const{options:e,circumference:i}=this,s=(e.offset||0)/4,n=(e.spacing||0)/2,o=e.circular;if(this.pixelMargin="inner"===e.borderAlign?.33:0,this.fullCircles=i>O?Math.floor(i/O):0,0===i||this.innerRadius<0||this.outerRadius<0)return;t.save();const a=(this.startAngle+this.endAngle)/2;t.translate(Math.cos(a)*s,Math.sin(a)*s);const r=s*(1-Math.sin(Math.min(C,i||0)));t.fillStyle=e.backgroundColor,t.strokeStyle=e.borderColor,function(t,e,i,s,n){const{fullCircles:o,startAngle:a,circumference:r}=e;let l=e.endAngle;if(o){Kn(t,e,i,s,l,n);for(let e=0;e<o;++e)t.fill();isNaN(r)||(l=a+(r%O||O))}Kn(t,e,i,s,l,n),t.fill()}(t,this,r,n,o),Gn(t,this,r,n,o),t.restore()}},BarElement:class extends $s{static id="bar";static defaults={borderSkipped:"start",borderWidth:0,borderRadius:0,inflateAmount:"auto",pointStyle:void 0};static defaultRoutes={backgroundColor:"backgroundColor",borderColor:"borderColor"};constructor(t){super(),this.options=void 0,this.horizontal=void 0,this.base=void 0,this.width=void 0,this.height=void 0,this.inflateAmount=void 0,t&&Object.assign(this,t)}draw(t){const{inflateAmount:e,options:{borderColor:i,backgroundColor:s}}=this,{inner:n,outer:o}=ho(this),a=(r=o.radius).topLeft||r.topRight||r.bottomLeft||r.bottomRight?He:uo;var r;t.save(),o.w===n.w&&o.h===n.h||(t.beginPath(),a(t,fo(o,e,n)),t.clip(),a(t,fo(n,-e,o)),t.fillStyle=i,t.fill("evenodd")),t.beginPath(),a(t,fo(n,e)),t.fillStyle=s,t.fill(),t.restore()}inRange(t,e,i){return co(this,t,e,i)}inXRange(t,e){return co(this,t,null,e)}inYRange(t,e){return co(this,null,t,e)}getCenterPoint(t){const{x:e,y:i,base:s,horizontal:n}=this.getProps(["x","y","base","horizontal"],t);return{x:n?(e+s)/2:e,y:n?i:(i+s)/2}}getRange(t){return"x"===t?this.width/2:this.height/2}},LineElement:oo,PointElement:class extends $s{static id="point";parsed;skip;stop;static defaults={borderWidth:1,hitRadius:1,hoverBorderWidth:1,hoverRadius:4,pointStyle:"circle",radius:3,rotation:0};static defaultRoutes={backgroundColor:"backgroundColor",borderColor:"borderColor"};constructor(t){super(),this.options=void 0,this.parsed=void 0,this.skip=void 0,this.stop=void 0,t&&Object.assign(this,t)}inRange(t,e,i){const s=this.options,{x:n,y:o}=this.getProps(["x","y"],i);return Math.pow(t-n,2)+Math.pow(e-o,2)<Math.pow(s.hitRadius+s.radius,2)}inXRange(t,e){return ao(this,t,"x",e)}inYRange(t,e){return ao(this,t,"y",e)}getCenterPoint(t){const{x:e,y:i}=this.getProps(["x","y"],t);return{x:e,y:i}}size(t){let e=(t=t||this.options||{}).radius||0;e=Math.max(e,e&&t.hoverRadius||0);return 2*(e+(e&&t.borderWidth||0))}draw(t,e){const i=this.options;this.skip||i.radius<.1||!Re(this,e,this.size(i)/2)||(t.strokeStyle=i.borderColor,t.lineWidth=i.borderWidth,t.fillStyle=i.backgroundColor,Le(t,i,this.x,this.y))}getRange(){const t=this.options||{};return t.radius+t.hitRadius}}});function po(t,e,i,s){const n=t.indexOf(e);if(-1===n)return((t,e,i,s)=>("string"==typeof e?(i=t.push(e)-1,s.unshift({index:i,label:e})):isNaN(e)&&(i=null),i))(t,e,i,s);return n!==t.lastIndexOf(e)?i:n}function mo(t){const e=this.getLabels();return t>=0&&t<e.length?e[t]:t}function xo(t,e,{horizontal:i,minRotation:s}){const n=$(s),o=(i?Math.sin(n):Math.cos(n))||.001,a=.75*e*(""+t).length;return Math.min(e/o,a)}class bo extends tn{constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._endValue=void 0,this._valueRange=0}parse(t,e){return s(t)||("number"==typeof t||t instanceof Number)&&!isFinite(+t)?null:+t}handleTickRangeOptions(){const{beginAtZero:t}=this.options,{minDefined:e,maxDefined:i}=this.getUserBounds();let{min:s,max:n}=this;const o=t=>s=e?s:t,a=t=>n=i?n:t;if(t){const t=F(s),e=F(n);t<0&&e<0?a(0):t>0&&e>0&&o(0)}if(s===n){let e=0===n?1:Math.abs(.05*n);a(n+e),t||o(s-e)}this.min=s,this.max=n}getTickLimit(){const t=this.options.ticks;let e,{maxTicksLimit:i,stepSize:s}=t;return s?(e=Math.ceil(this.max/s)-Math.floor(this.min/s)+1,e>1e3&&(console.warn(`scales.${this.id}.ticks.stepSize: ${s} would result generating up to ${e} ticks. 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ne(t,this.chart.options.locale,this.options.ticks.format)}}class _o extends bo{static id="linear";static defaults={ticks:{callback:ae.formatters.numeric}};determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?t:0,this.max=a(e)?e:1,this.handleTickRangeOptions()}computeTickLimit(){const t=this.isHorizontal(),e=t?this.width:this.height,i=$(this.options.ticks.minRotation),s=(t?Math.sin(i):Math.cos(i))||.001,n=this._resolveTickFontOptions(0);return Math.ceil(e/Math.min(40,n.lineHeight/s))}getPixelForValue(t){return null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getValueForPixel(t){return this._startValue+this.getDecimalForPixel(t)*this._valueRange}}const yo=t=>Math.floor(z(t)),vo=(t,e)=>Math.pow(10,yo(t)+e);function Mo(t){return 1===t/Math.pow(10,yo(t))}function wo(t,e,i){const s=Math.pow(10,i),n=Math.floor(t/s);return Math.ceil(e/s)-n}function ko(t,{min:e,max:i}){e=r(t.min,e);const s=[],n=yo(e);let o=function(t,e){let 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a(i)&&i>0?i:null;this._zero=!0}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?Math.max(0,t):null,this.max=a(e)?Math.max(0,e):null,this.options.beginAtZero&&(this._zero=!0),this._zero&&this.min!==this._suggestedMin&&!a(this._userMin)&&(this.min=t===vo(this.min,0)?vo(this.min,-1):vo(this.min,0)),this.handleTickRangeOptions()}handleTickRangeOptions(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let i=this.min,s=this.max;const n=e=>i=t?i:e,o=t=>s=e?s:t;i===s&&(i<=0?(n(1),o(10)):(n(vo(i,-1)),o(vo(s,1)))),i<=0&&n(vo(s,-1)),s<=0&&o(vo(i,1)),this.min=i,this.max=s}buildTicks(){const t=this.options,e=ko({min:this._userMin,max:this._userMax},this);return"ticks"===t.bounds&&j(e,this,"value"),t.reverse?(e.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),e}getLabelForValue(t){return void 0===t?"0":ne(t,this.chart.options.locale,this.options.ticks.format)}configure(){const t=this.min;super.configure(),this._startValue=z(t),this._valueRange=z(this.max)-z(t)}getPixelForValue(t){return void 0!==t&&0!==t||(t=this.min),null===t||isNaN(t)?NaN:this.getPixelForDecimal(t===this.min?0:(z(t)-this._startValue)/this._valueRange)}getValueForPixel(t){const e=this.getDecimalForPixel(t);return Math.pow(10,this._startValue+e*this._valueRange)}}function Po(t){const e=t.ticks;if(e.display&&t.display){const t=ki(e.backdropPadding);return l(e.font&&e.font.size,ue.font.size)+t.height}return 0}function Do(t,e,i,s,n){return t===s||t===n?{start:e-i/2,end:e+i/2}:t<s||t>n?{start:e-i,end:e}:{start:e,end:e+i}}function Co(t){const e={l:t.left+t._padding.left,r:t.right-t._padding.right,t:t.top+t._padding.top,b:t.bottom-t._padding.bottom},i=Object.assign({},e),s=[],o=[],a=t._pointLabels.length,r=t.options.pointLabels,l=r.centerPointLabels?C/a:0;for(let u=0;u<a;u++){const a=r.setContext(t.getPointLabelContext(u));o[u]=a.padding;const f=t.getPointPosition(u,t.drawingArea+o[u],l),g=Si(a.font),p=(h=t.ctx,c=g,d=n(d=t._pointLabels[u])?d:[d],{w:Oe(h,c.string,d),h:d.length*c.lineHeight});s[u]=p;const m=G(t.getIndexAngle(u)+l),x=Math.round(Y(m));Oo(i,e,m,Do(x,f.x,p.w,0,180),Do(x,f.y,p.h,90,270))}var h,c,d;t.setCenterPoint(e.l-i.l,i.r-e.r,e.t-i.t,i.b-e.b),t._pointLabelItems=function(t,e,i){const s=[],n=t._pointLabels.length,o=t.options,{centerPointLabels:a,display:r}=o.pointLabels,l={extra:Po(o)/2,additionalAngle:a?C/n:0};let h;for(let o=0;o<n;o++){l.padding=i[o],l.size=e[o];const n=Ao(t,o,l);s.push(n),"auto"===r&&(n.visible=To(n,h),n.visible&&(h=n))}return s}(t,s,o)}function Oo(t,e,i,s,n){const o=Math.abs(Math.sin(i)),a=Math.abs(Math.cos(i));let r=0,l=0;s.start<e.l?(r=(e.l-s.start)/o,t.l=Math.min(t.l,e.l-r)):s.end>e.r&&(r=(s.end-e.r)/o,t.r=Math.max(t.r,e.r+r)),n.start<e.t?(l=(e.t-n.start)/a,t.t=Math.min(t.t,e.t-l)):n.end>e.b&&(l=(n.end-e.b)/a,t.b=Math.max(t.b,e.b+l))}function Ao(t,e,i){const s=t.drawingArea,{extra:n,additionalAngle:o,padding:a,size:r}=i,l=t.getPointPosition(e,s+n+a,o),h=Math.round(Y(G(l.angle+E))),c=function(t,e,i){90===i||270===i?t-=e/2:(i>270||i<90)&&(t-=e);return t}(l.y,r.h,h),d=function(t){if(0===t||180===t)return"center";if(t<180)return"left";return"right"}(h),u=function(t,e,i){"right"===i?t-=e:"center"===i&&(t-=e/2);return t}(l.x,r.w,d);return{visible:!0,x:l.x,y:c,textAlign:d,left:u,top:c,right:u+r.w,bottom:c+r.h}}function To(t,e){if(!e)return!0;const{left:i,top:s,right:n,bottom:o}=t;return!(Re({x:i,y:s},e)||Re({x:i,y:o},e)||Re({x:n,y:s},e)||Re({x:n,y:o},e))}function Lo(t,e,i){const{left:n,top:o,right:a,bottom:r}=i,{backdropColor:l}=e;if(!s(l)){const i=wi(e.borderRadius),s=ki(e.backdropPadding);t.fillStyle=l;const h=n-s.left,c=o-s.top,d=a-n+s.width,u=r-o+s.height;Object.values(i).some((t=>0!==t))?(t.beginPath(),He(t,{x:h,y:c,w:d,h:u,radius:i}),t.fill()):t.fillRect(h,c,d,u)}}function Eo(t,e,i,s){const{ctx:n}=t;if(i)n.arc(t.xCenter,t.yCenter,e,0,O);else{let i=t.getPointPosition(0,e);n.moveTo(i.x,i.y);for(let o=1;o<s;o++)i=t.getPointPosition(o,e),n.lineTo(i.x,i.y)}}class Ro extends bo{static id="radialLinear";static defaults={display:!0,animate:!0,position:"chartArea",angleLines:{display:!0,lineWidth:1,borderDash:[],borderDashOffset:0},grid:{circular:!1},startAngle:0,ticks:{showLabelBackdrop:!0,callback:ae.formatters.numeric},pointLabels:{backdropColor:void 0,backdropPadding:2,display:!0,font:{size:10},callback:t=>t,padding:5,centerPointLabels:!1}};static defaultRoutes={"angleLines.color":"borderColor","pointLabels.color":"color","ticks.color":"color"};static descriptors={angleLines:{_fallback:"grid"}};constructor(t){super(t),this.xCenter=void 0,this.yCenter=void 0,this.drawingArea=void 0,this._pointLabels=[],this._pointLabelItems=[]}setDimensions(){const t=this._padding=ki(Po(this.options)/2),e=this.width=this.maxWidth-t.width,i=this.height=this.maxHeight-t.height;this.xCenter=Math.floor(this.left+e/2+t.left),this.yCenter=Math.floor(this.top+i/2+t.top),this.drawingArea=Math.floor(Math.min(e,i)/2)}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!1);this.min=a(t)&&!isNaN(t)?t:0,this.max=a(e)&&!isNaN(e)?e:0,this.handleTickRangeOptions()}computeTickLimit(){return Math.ceil(this.drawingArea/Po(this.options))}generateTickLabels(t){bo.prototype.generateTickLabels.call(this,t),this._pointLabels=this.getLabels().map(((t,e)=>{const i=d(this.options.pointLabels.callback,[t,e],this);return i||0===i?i:""})).filter(((t,e)=>this.chart.getDataVisibility(e)))}fit(){const t=this.options;t.display&&t.pointLabels.display?Co(this):this.setCenterPoint(0,0,0,0)}setCenterPoint(t,e,i,s){this.xCenter+=Math.floor((t-e)/2),this.yCenter+=Math.floor((i-s)/2),this.drawingArea-=Math.min(this.drawingArea/2,Math.max(t,e,i,s))}getIndexAngle(t){return G(t*(O/(this._pointLabels.length||1))+$(this.options.startAngle||0))}getDistanceFromCenterForValue(t){if(s(t))return NaN;const e=this.drawingArea/(this.max-this.min);return this.options.reverse?(this.max-t)*e:(t-this.min)*e}getValueForDistanceFromCenter(t){if(s(t))return NaN;const e=t/(this.drawingArea/(this.max-this.min));return this.options.reverse?this.max-e:this.min+e}getPointLabelContext(t){const e=this._pointLabels||[];if(t>=0&&t<e.length){const i=e[t];return function(t,e,i){return Ci(t,{label:i,index:e,type:"pointLabel"})}(this.getContext(),t,i)}}getPointPosition(t,e,i=0){const s=this.getIndexAngle(t)-E+i;return{x:Math.cos(s)*e+this.xCenter,y:Math.sin(s)*e+this.yCenter,angle:s}}getPointPositionForValue(t,e){return this.getPointPosition(t,this.getDistanceFromCenterForValue(e))}getBasePosition(t){return this.getPointPositionForValue(t||0,this.getBaseValue())}getPointLabelPosition(t){const{left:e,top:i,right:s,bottom:n}=this._pointLabelItems[t];return{left:e,top:i,right:s,bottom:n}}drawBackground(){const{backgroundColor:t,grid:{circular:e}}=this.options;if(t){const i=this.ctx;i.save(),i.beginPath(),Eo(this,this.getDistanceFromCenterForValue(this._endValue),e,this._pointLabels.length),i.closePath(),i.fillStyle=t,i.fill(),i.restore()}}drawGrid(){const t=this.ctx,e=this.options,{angleLines:i,grid:s,border:n}=e,o=this._pointLabels.length;let a,r,l;if(e.pointLabels.display&&function(t,e){const{ctx:i,options:{pointLabels:s}}=t;for(let n=e-1;n>=0;n--){const e=t._pointLabelItems[n];if(!e.visible)continue;const o=s.setContext(t.getPointLabelContext(n));Lo(i,o,e);const a=Si(o.font),{x:r,y:l,textAlign:h}=e;Ne(i,t._pointLabels[n],r,l+a.lineHeight/2,a,{color:o.color,textAlign:h,textBaseline:"middle"})}}(this,o),s.display&&this.ticks.forEach(((t,e)=>{if(0!==e||0===e&&this.min<0){r=this.getDistanceFromCenterForValue(t.value);const i=this.getContext(e),a=s.setContext(i),l=n.setContext(i);!function(t,e,i,s,n){const o=t.ctx,a=e.circular,{color:r,lineWidth:l}=e;!a&&!s||!r||!l||i<0||(o.save(),o.strokeStyle=r,o.lineWidth=l,o.setLineDash(n.dash||[]),o.lineDashOffset=n.dashOffset,o.beginPath(),Eo(t,i,a,s),o.closePath(),o.stroke(),o.restore())}(this,a,r,o,l)}})),i.display){for(t.save(),a=o-1;a>=0;a--){const s=i.setContext(this.getPointLabelContext(a)),{color:n,lineWidth:o}=s;o&&n&&(t.lineWidth=o,t.strokeStyle=n,t.setLineDash(s.borderDash),t.lineDashOffset=s.borderDashOffset,r=this.getDistanceFromCenterForValue(e.reverse?this.min:this.max),l=this.getPointPosition(a,r),t.beginPath(),t.moveTo(this.xCenter,this.yCenter),t.lineTo(l.x,l.y),t.stroke())}t.restore()}}drawBorder(){}drawLabels(){const t=this.ctx,e=this.options,i=e.ticks;if(!i.display)return;const s=this.getIndexAngle(0);let n,o;t.save(),t.translate(this.xCenter,this.yCenter),t.rotate(s),t.textAlign="center",t.textBaseline="middle",this.ticks.forEach(((s,a)=>{if(0===a&&this.min>=0&&!e.reverse)return;const r=i.setContext(this.getContext(a)),l=Si(r.font);if(n=this.getDistanceFromCenterForValue(this.ticks[a].value),r.showLabelBackdrop){t.font=l.string,o=t.measureText(s.label).width,t.fillStyle=r.backdropColor;const e=ki(r.backdropPadding);t.fillRect(-o/2-e.left,-n-l.size/2-e.top,o+e.width,l.size+e.height)}Ne(t,s.label,0,-n,l,{color:r.color,strokeColor:r.textStrokeColor,strokeWidth:r.textStrokeWidth})})),t.restore()}drawTitle(){}}const Io={millisecond:{common:!0,size:1,steps:1e3},second:{common:!0,size:1e3,steps:60},minute:{common:!0,size:6e4,steps:60},hour:{common:!0,size:36e5,steps:24},day:{common:!0,size:864e5,steps:30},week:{common:!1,size:6048e5,steps:4},month:{common:!0,size:2628e6,steps:12},quarter:{common:!1,size:7884e6,steps:4},year:{common:!0,size:3154e7}},zo=Object.keys(Io);function Fo(t,e){return t-e}function Vo(t,e){if(s(e))return null;const i=t._adapter,{parser:n,round:o,isoWeekday:r}=t._parseOpts;let l=e;return"function"==typeof n&&(l=n(l)),a(l)||(l="string"==typeof n?i.parse(l,n):i.parse(l)),null===l?null:(o&&(l="week"!==o||!N(r)&&!0!==r?i.startOf(l,o):i.startOf(l,"isoWeek",r)),+l)}function Bo(t,e,i,s){const n=zo.length;for(let o=zo.indexOf(t);o<n-1;++o){const t=Io[zo[o]],n=t.steps?t.steps:Number.MAX_SAFE_INTEGER;if(t.common&&Math.ceil((i-e)/(n*t.size))<=s)return zo[o]}return zo[n-1]}function Wo(t,e,i){if(i){if(i.length){const{lo:s,hi:n}=et(i,e);t[i[s]>=e?i[s]:i[n]]=!0}}else t[e]=!0}function No(t,e,i){const s=[],n={},o=e.length;let a,r;for(a=0;a<o;++a)r=e[a],n[r]=a,s.push({value:r,major:!1});return 0!==o&&i?function(t,e,i,s){const n=t._adapter,o=+n.startOf(e[0].value,s),a=e[e.length-1].value;let r,l;for(r=o;r<=a;r=+n.add(r,1,s))l=i[r],l>=0&&(e[l].major=!0);return e}(t,s,n,i):s}class Ho extends tn{static id="time";static defaults={bounds:"data",adapters:{},time:{parser:!1,unit:!1,round:!1,isoWeekday:!1,minUnit:"millisecond",displayFormats:{}},ticks:{source:"auto",callback:!1,major:{enabled:!1}}};constructor(t){super(t),this._cache={data:[],labels:[],all:[]},this._unit="day",this._majorUnit=void 0,this._offsets={},this._normalized=!1,this._parseOpts=void 0}init(t,e={}){const i=t.time||(t.time={}),s=this._adapter=new In._date(t.adapters.date);s.init(e),b(i.displayFormats,s.formats()),this._parseOpts={parser:i.parser,round:i.round,isoWeekday:i.isoWeekday},super.init(t),this._normalized=e.normalized}parse(t,e){return void 0===t?null:Vo(this,t)}beforeLayout(){super.beforeLayout(),this._cache={data:[],labels:[],all:[]}}determineDataLimits(){const t=this.options,e=this._adapter,i=t.time.unit||"day";let{min:s,max:n,minDefined:o,maxDefined:r}=this.getUserBounds();function l(t){o||isNaN(t.min)||(s=Math.min(s,t.min)),r||isNaN(t.max)||(n=Math.max(n,t.max))}o&&r||(l(this._getLabelBounds()),"ticks"===t.bounds&&"labels"===t.ticks.source||l(this.getMinMax(!1))),s=a(s)&&!isNaN(s)?s:+e.startOf(Date.now(),i),n=a(n)&&!isNaN(n)?n:+e.endOf(Date.now(),i)+1,this.min=Math.min(s,n-1),this.max=Math.max(s+1,n)}_getLabelBounds(){const t=this.getLabelTimestamps();let e=Number.POSITIVE_INFINITY,i=Number.NEGATIVE_INFINITY;return t.length&&(e=t[0],i=t[t.length-1]),{min:e,max:i}}buildTicks(){const t=this.options,e=t.time,i=t.ticks,s="labels"===i.source?this.getLabelTimestamps():this._generate();"ticks"===t.bounds&&s.length&&(this.min=this._userMin||s[0],this.max=this._userMax||s[s.length-1]);const n=this.min,o=nt(s,n,this.max);return this._unit=e.unit||(i.autoSkip?Bo(e.minUnit,this.min,this.max,this._getLabelCapacity(n)):function(t,e,i,s,n){for(let o=zo.length-1;o>=zo.indexOf(i);o--){const i=zo[o];if(Io[i].common&&t._adapter.diff(n,s,i)>=e-1)return i}return zo[i?zo.indexOf(i):0]}(this,o.length,e.minUnit,this.min,this.max)),this._majorUnit=i.major.enabled&&"year"!==this._unit?function(t){for(let e=zo.indexOf(t)+1,i=zo.length;e<i;++e)if(Io[zo[e]].common)return zo[e]}(this._unit):void 0,this.initOffsets(s),t.reverse&&o.reverse(),No(this,o,this._majorUnit)}afterAutoSkip(){this.options.offsetAfterAutoskip&&this.initOffsets(this.ticks.map((t=>+t.value)))}initOffsets(t=[]){let e,i,s=0,n=0;this.options.offset&&t.length&&(e=this.getDecimalForValue(t[0]),s=1===t.length?1-e:(this.getDecimalForValue(t[1])-e)/2,i=this.getDecimalForValue(t[t.length-1]),n=1===t.length?i:(i-this.getDecimalForValue(t[t.length-2]))/2);const o=t.length<3?.5:.25;s=Z(s,0,o),n=Z(n,0,o),this._offsets={start:s,end:n,factor:1/(s+1+n)}}_generate(){const t=this._adapter,e=this.min,i=this.max,s=this.options,n=s.time,o=n.unit||Bo(n.minUnit,e,i,this._getLabelCapacity(e)),a=l(s.ticks.stepSize,1),r="week"===o&&n.isoWeekday,h=N(r)||!0===r,c={};let d,u,f=e;if(h&&(f=+t.startOf(f,"isoWeek",r)),f=+t.startOf(f,h?"day":o),t.diff(i,e,o)>1e5*a)throw new Error(e+" and "+i+" are too far apart with stepSize of "+a+" "+o);const g="data"===s.ticks.source&&this.getDataTimestamps();for(d=f,u=0;d<i;d=+t.add(d,a,o),u++)Wo(c,d,g);return d!==i&&"ticks"!==s.bounds&&1!==u||Wo(c,d,g),Object.keys(c).sort(Fo).map((t=>+t))}getLabelForValue(t){const e=this._adapter,i=this.options.time;return i.tooltipFormat?e.format(t,i.tooltipFormat):e.format(t,i.displayFormats.datetime)}format(t,e){const i=this.options.time.displayFormats,s=this._unit,n=e||i[s];return this._adapter.format(t,n)}_tickFormatFunction(t,e,i,s){const n=this.options,o=n.ticks.callback;if(o)return d(o,[t,e,i],this);const a=n.time.displayFormats,r=this._unit,l=this._majorUnit,h=r&&a[r],c=l&&a[l],u=i[e],f=l&&c&&u&&u.major;return this._adapter.format(t,s||(f?c:h))}generateTickLabels(t){let e,i,s;for(e=0,i=t.length;e<i;++e)s=t[e],s.label=this._tickFormatFunction(s.value,e,t)}getDecimalForValue(t){return null===t?NaN:(t-this.min)/(this.max-this.min)}getPixelForValue(t){const e=this._offsets,i=this.getDecimalForValue(t);return this.getPixelForDecimal((e.start+i)*e.factor)}getValueForPixel(t){const e=this._offsets,i=this.getDecimalForPixel(t)/e.factor-e.end;return this.min+i*(this.max-this.min)}_getLabelSize(t){const e=this.options.ticks,i=this.ctx.measureText(t).width,s=$(this.isHorizontal()?e.maxRotation:e.minRotation),n=Math.cos(s),o=Math.sin(s),a=this._resolveTickFontOptions(0).size;return{w:i*n+a*o,h:i*o+a*n}}_getLabelCapacity(t){const e=this.options.time,i=e.displayFormats,s=i[e.unit]||i.millisecond,n=this._tickFormatFunction(t,0,No(this,[t],this._majorUnit),s),o=this._getLabelSize(n),a=Math.floor(this.isHorizontal()?this.width/o.w:this.height/o.h)-1;return a>0?a:1}getDataTimestamps(){let t,e,i=this._cache.data||[];if(i.length)return i;const s=this.getMatchingVisibleMetas();if(this._normalized&&s.length)return this._cache.data=s[0].controller.getAllParsedValues(this);for(t=0,e=s.length;t<e;++t)i=i.concat(s[t].controller.getAllParsedValues(this));return this._cache.data=this.normalize(i)}getLabelTimestamps(){const t=this._cache.labels||[];let e,i;if(t.length)return t;const s=this.getLabels();for(e=0,i=s.length;e<i;++e)t.push(Vo(this,s[e]));return this._cache.labels=this._normalized?t:this.normalize(t)}normalize(t){return lt(t.sort(Fo))}}function jo(t,e,i){let s,n,o,a,r=0,l=t.length-1;i?(e>=t[r].pos&&e<=t[l].pos&&({lo:r,hi:l}=it(t,"pos",e)),({pos:s,time:o}=t[r]),({pos:n,time:a}=t[l])):(e>=t[r].time&&e<=t[l].time&&({lo:r,hi:l}=it(t,"time",e)),({time:s,pos:o}=t[r]),({time:n,pos:a}=t[l]));const h=n-s;return h?o+(a-o)*(e-s)/h:o}var $o=Object.freeze({__proto__:null,CategoryScale:class extends tn{static id="category";static defaults={ticks:{callback:mo}};constructor(t){super(t),this._startValue=void 0,this._valueRange=0,this._addedLabels=[]}init(t){const e=this._addedLabels;if(e.length){const t=this.getLabels();for(const{index:i,label:s}of e)t[i]===s&&t.splice(i,1);this._addedLabels=[]}super.init(t)}parse(t,e){if(s(t))return null;const i=this.getLabels();return((t,e)=>null===t?null:Z(Math.round(t),0,e))(e=isFinite(e)&&i[e]===t?e:po(i,t,l(e,t),this._addedLabels),i.length-1)}determineDataLimits(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let{min:i,max:s}=this.getMinMax(!0);"ticks"===this.options.bounds&&(t||(i=0),e||(s=this.getLabels().length-1)),this.min=i,this.max=s}buildTicks(){const t=this.min,e=this.max,i=this.options.offset,s=[];let n=this.getLabels();n=0===t&&e===n.length-1?n:n.slice(t,e+1),this._valueRange=Math.max(n.length-(i?0:1),1),this._startValue=this.min-(i?.5:0);for(let i=t;i<=e;i++)s.push({value:i});return s}getLabelForValue(t){return mo.call(this,t)}configure(){super.configure(),this.isHorizontal()||(this._reversePixels=!this._reversePixels)}getPixelForValue(t){return"number"!=typeof t&&(t=this.parse(t)),null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getValueForPixel(t){return Math.round(this._startValue+this.getDecimalForPixel(t)*this._valueRange)}getBasePixel(){return this.bottom}},LinearScale:_o,LogarithmicScale:So,RadialLinearScale:Ro,TimeScale:Ho,TimeSeriesScale:class extends Ho{static id="timeseries";static defaults=Ho.defaults;constructor(t){super(t),this._table=[],this._minPos=void 0,this._tableRange=void 0}initOffsets(){const t=this._getTimestampsForTable(),e=this._table=this.buildLookupTable(t);this._minPos=jo(e,this.min),this._tableRange=jo(e,this.max)-this._minPos,super.initOffsets(t)}buildLookupTable(t){const{min:e,max:i}=this,s=[],n=[];let o,a,r,l,h;for(o=0,a=t.length;o<a;++o)l=t[o],l>=e&&l<=i&&s.push(l);if(s.length<2)return[{time:e,pos:0},{time:i,pos:1}];for(o=0,a=s.length;o<a;++o)h=s[o+1],r=s[o-1],l=s[o],Math.round((h+r)/2)!==l&&n.push({time:l,pos:o/(a-1)});return n}_generate(){const t=this.min,e=this.max;let i=super.getDataTimestamps();return 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u=ft(a,c,c+d);o.textAlign=n.textAlign(ut(a)),o.textBaseline="middle",o.strokeStyle=e.color,o.fillStyle=e.color,o.font=i.string,Ne(o,e.text,u,h,i)}_computeTitleHeight(){const t=this.options.title,e=Si(t.font),i=ki(t.padding);return t.display?e.lineHeight+i.height:0}_getLegendItemAt(t,e){let i,s,n;if(tt(t,this.left,this.right)&&tt(e,this.top,this.bottom))for(n=this.legendHitBoxes,i=0;i<n.length;++i)if(s=n[i],tt(t,s.left,s.left+s.width)&&tt(e,s.top,s.top+s.height))return this.legendItems[i];return null}handleEvent(t){const e=this.options;if(!function(t,e){if(("mousemove"===t||"mouseout"===t)&&(e.onHover||e.onLeave))return!0;if(e.onClick&&("click"===t||"mouseup"===t))return!0;return!1}(t.type,e))return;const i=this._getLegendItemAt(t.x,t.y);if("mousemove"===t.type||"mouseout"===t.type){const o=this._hoveredItem,a=(n=i,null!==(s=o)&&null!==n&&s.datasetIndex===n.datasetIndex&&s.index===n.index);o&&!a&&d(e.onLeave,[t,o,this],this),this._hoveredItem=i,i&&!a&&d(e.onHover,[t,i,this],this)}else 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0,this.xAlign=void 0,this.yAlign=void 0,this.x=void 0,this.y=void 0,this.height=void 0,this.width=void 0,this.caretX=void 0,this.caretY=void 0,this.labelColors=void 0,this.labelPointStyles=void 0,this.labelTextColors=void 0}initialize(t){this.options=t,this._cachedAnimations=void 0,this.$context=void 0}_resolveAnimations(){const t=this._cachedAnimations;if(t)return t;const e=this.chart,i=this.options.setContext(this.getContext()),s=i.enabled&&e.options.animation&&i.animations,n=new Ts(this.chart,s);return s._cacheable&&(this._cachedAnimations=Object.freeze(n)),n}getContext(){return this.$context||(this.$context=(t=this.chart.getContext(),e=this,i=this._tooltipItems,Ci(t,{tooltip:e,tooltipItems:i,type:"tooltip"})));var t,e,i}getTitle(t,e){const{callbacks:i}=e,s=Ba(i,"beforeTitle",this,t),n=Ba(i,"title",this,t),o=Ba(i,"afterTitle",this,t);let a=[];return a=Ca(a,Oa(s)),a=Ca(a,Oa(n)),a=Ca(a,Oa(o)),a}getBeforeBody(t,e){return 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e=this.chart,i=this.$animations,s=i&&i.x,n=i&&i.y;if(s||n){const i=Da[t.position].call(this,this._active,this._eventPosition);if(!i)return;const o=this._size=Ta(this,t),a=Object.assign({},i,this._size),r=Ea(e,t,a),l=Ra(t,a,r,e);s._to===l.x&&n._to===l.y||(this.xAlign=r.xAlign,this.yAlign=r.yAlign,this.width=o.width,this.height=o.height,this.caretX=i.x,this.caretY=i.y,this._resolveAnimations().update(this,l))}}_willRender(){return!!this.opacity}draw(t){const e=this.options.setContext(this.getContext());let i=this.opacity;if(!i)return;this._updateAnimationTarget(e);const s={width:this.width,height:this.height},n={x:this.x,y:this.y};i=Math.abs(i)<.001?0:i;const o=ki(e.padding),a=this.title.length||this.beforeBody.length||this.body.length||this.afterBody.length||this.footer.length;e.enabled&&a&&(t.save(),t.globalAlpha=i,this.drawBackground(n,t,s,e),Ai(t,e.textDirection),n.y+=o.top,this.drawTitle(n,t,e),this.drawBody(n,t,e),this.drawFooter(n,t,e),Ti(t,e.textDirection),t.restore())}getActiveElements(){return this._active||[]}setActiveElements(t,e){const i=this._active,s=t.map((({datasetIndex:t,index:e})=>{const i=this.chart.getDatasetMeta(t);if(!i)throw new Error("Cannot find a dataset at index "+t);return{datasetIndex:t,element:i.data[e],index:e}})),n=!f(i,s),o=this._positionChanged(s,e);(n||o)&&(this._active=s,this._eventPosition=e,this._ignoreReplayEvents=!0,this.update(!0))}handleEvent(t,e,i=!0){if(e&&this._ignoreReplayEvents)return!1;this._ignoreReplayEvents=!1;const s=this.options,n=this._active||[],o=this._getActiveElements(t,n,e,i),a=this._positionChanged(o,t),r=e||!f(o,n)||a;return r&&(this._active=o,(s.enabled||s.external)&&(this._eventPosition={x:t.x,y:t.y},this.update(!0,e))),r}_getActiveElements(t,e,i,s){const n=this.options;if("mouseout"===t.type)return[];if(!s)return e.filter((t=>this.chart.data.datasets[t.datasetIndex]&&void 0!==this.chart.getDatasetMeta(t.datasetIndex).controller.getParsed(t.index)));const o=this.chart.getElementsAtEventForMode(t,n.mode,n,i);return n.reverse&&o.reverse(),o}_positionChanged(t,e){const{caretX:i,caretY:s,options:n}=this,o=Da[n.position].call(this,t,e);return!1!==o&&(i!==o.x||s!==o.y)}}var Na={id:"tooltip",_element:Wa,positioners:Da,afterInit(t,e,i){i&&(t.tooltip=new Wa({chart:t,options:i}))},beforeUpdate(t,e,i){t.tooltip&&t.tooltip.initialize(i)},reset(t,e,i){t.tooltip&&t.tooltip.initialize(i)},afterDraw(t){const e=t.tooltip;if(e&&e._willRender()){const i={tooltip:e};if(!1===t.notifyPlugins("beforeTooltipDraw",{...i,cancelable:!0}))return;e.draw(t.ctx),t.notifyPlugins("afterTooltipDraw",i)}},afterEvent(t,e){if(t.tooltip){const i=e.replay;t.tooltip.handleEvent(e.event,i,e.inChartArea)&&(e.changed=!0)}},defaults:{enabled:!0,external:null,position:"average",backgroundColor:"rgba(0,0,0,0.8)",titleColor:"#fff",titleFont:{weight:"bold"},titleSpacing:2,titleMarginBottom:6,titleAlign:"left",bodyColor:"#fff",bodySpacing:2,bodyFont:{},bodyAlign:"left",footerColor:"#fff",footerSpacing:2,footerMarginTop:6,footerFont:{weight:"bold"},footerAlign:"left",padding:6,caretPadding:2,caretSize:5,cornerRadius:6,boxHeight:(t,e)=>e.bodyFont.size,boxWidth:(t,e)=>e.bodyFont.size,multiKeyBackground:"#fff",displayColors:!0,boxPadding:0,borderColor:"rgba(0,0,0,0)",borderWidth:0,animation:{duration:400,easing:"easeOutQuart"},animations:{numbers:{type:"number",properties:["x","y","width","height","caretX","caretY"]},opacity:{easing:"linear",duration:200}},callbacks:Va},defaultRoutes:{bodyFont:"font",footerFont:"font",titleFont:"font"},descriptors:{_scriptable:t=>"filter"!==t&&"itemSort"!==t&&"external"!==t,_indexable:!1,callbacks:{_scriptable:!1,_indexable:!1},animation:{_fallback:!1},animations:{_fallback:"animation"}},additionalOptionScopes:["interaction"]};return Tn.register(Un,$o,go,t),Tn.helpers={...Hi},Tn._adapters=In,Tn.Animation=As,Tn.Animations=Ts,Tn.animator=bt,Tn.controllers=nn.controllers.items,Tn.DatasetController=js,Tn.Element=$s,Tn.elements=go,Tn.Interaction=Ki,Tn.layouts=ls,Tn.platforms=Ds,Tn.Scale=tn,Tn.Ticks=ae,Object.assign(Tn,Un,$o,go,t,Ds),Tn.Chart=Tn,"undefined"!=typeof window&&(window.Chart=Tn),Tn}));
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<style>
  :root{
    --navy:#1E2761; --navy-dark:#12173F; --ice:#CADCFC; --white:#FFFFFF;
    --bg-light:#F6F8FC; --text-dark:#1B2033; --text-muted:#667085; --text-faint:#98A2B3;
    --gold:#C9A24B;
    --case-a:#1C7293; --case-a-bg:#E9F2F5;
    --case-b:#AD7A22; --case-b-bg:#F6EFDF;
    --case-c:#AE3A32; --case-c-bg:#F6E7E5;
    --case-d:#5B4B8A; --case-d-bg:#EDE9F5;
    --green:#2E9E5B; --green-bg:#E6F4EC;
    --amber:#C9922E; --amber-bg:#FBF1DF;
    --red:#C1443C;   --red-bg:#FBEAE8;
  }
  *{box-sizing:border-box;}
  html,body{margin:0;padding:0;background:#0B0F2E;height:100%;font-family:'Noto Sans TC',sans-serif;}
  #viewport{width:100vw;height:100vh;display:flex;align-items:center;justify-content:center;overflow:hidden;}
  #stage{position:relative;width:1280px;height:720px;transform-origin:center center;box-shadow:0 30px 80px rgba(0,0,0,.55);flex:none;}
  .slide{position:absolute;inset:0;width:1280px;height:720px;background:#fff;padding:36px 52px 46px;display:none;flex-direction:column;overflow:hidden;}
  .slide.active{display:flex;}
  .slide.dark{background:linear-gradient(135deg,#1E2761 0%,#1E2761 100%);color:#fff;}
  .bg-circle{position:absolute;border-radius:50%;background:var(--navy-dark);z-index:0;}
  .slide.dark > *{position:relative;z-index:1;}

  .kicker{font-size:11.5px;font-weight:700;letter-spacing:2px;text-transform:uppercase;margin-bottom:6px;}
  .title{font-family:'Noto Serif TC',serif;font-size:27px;font-weight:900;color:var(--text-dark);margin:0 0 8px;line-height:1.25;}
  .subtitle{font-size:13px;color:var(--text-muted);margin-bottom:6px;max-width:1080px;line-height:1.4;}
  .section-tag{font-size:10.5px;font-weight:700;letter-spacing:1.5px;margin-bottom:4px;text-transform:uppercase;}
  .head{margin-bottom:16px;flex:none;}

  .card{background:var(--bg-light);border:1px solid #E3E7F0;border-radius:10px;padding:14px 18px;box-shadow:0 2px 10px rgba(27,32,51,.05);}
  .card.tint-a{background:var(--case-a-bg);border-color:#D5E4E9;}
  .card.tint-b{background:var(--case-b-bg);border-color:#E9DAB8;}
  .card.tint-c{background:var(--case-c-bg);border-color:#EFC9C5;}
  .card.tint-d{background:var(--case-d-bg);border-color:#DCD3EC;}
  .card.tint-green{background:var(--green-bg);border-color:#BEE3CE;}
  .card.tint-red{background:var(--red-bg);border-color:#EFC9C5;}
  .card.tint-amber{background:var(--amber-bg);border-color:#EEDDB0;}
  .card.navy{background:var(--navy);border-color:#1E2761;color:#fff;}
  .card.navy .muted{color:#B7C0E0;}

  .grid{display:grid;gap:14px;}
  .g2{grid-template-columns:1fr 1fr;}
  .g3{grid-template-columns:1fr 1fr 1fr;}
  .g4{grid-template-columns:1fr 1fr 1fr 1fr;}

  ul.bullets{margin:0;padding:0;list-style:none;}
  ul.bullets li{position:relative;padding-left:16px;margin-bottom:9px;font-size:12px;line-height:1.4;color:var(--text-dark);}
  ul.bullets li::before{content:"•";position:absolute;left:0;color:var(--text-muted);font-weight:700;}
  ul.bullets.tight li{margin-bottom:6px;font-size:11px;}

  .badge{display:inline-flex;align-items:center;justify-content:center;padding:6px 14px;border-radius:8px;font-size:11px;font-weight:700;white-space:nowrap;}
  .icon-circle{display:inline-flex;align-items:center;justify-content:center;border-radius:50%;color:#fff;font-family:'Noto Serif TC',serif;font-weight:700;flex:none;}
  .stat-num{font-family:'Noto Serif TC',serif;font-weight:900;line-height:1;}
  .stat-label{font-size:10.5px;color:var(--text-muted);margin-top:6px;line-height:1.3;}

  .footer{position:absolute;left:52px;right:52px;bottom:16px;display:flex;justify-content:space-between;font-size:9px;color:var(--text-faint);}
  .footer.dark-footer{color:#8892B0;}

  .h2{font-family:'Noto Serif TC',serif;font-weight:900;font-size:17px;color:var(--text-dark);margin:0 0 4px;}
  .pg-grid{display:grid;grid-template-columns:repeat(8,1fr);grid-template-rows:repeat(8,1fr);width:74px;height:74px;gap:1.5px;margin:0 auto;}
  .pg-cell{width:100%;height:100%;border-radius:1px;}
  .pg-pass{background:#2E9E5B;}
  .pg-fail{background:#C1443C;}
  .lead-num{font-family:'Noto Serif TC',serif;font-weight:900;font-size:30px;}

  /* nav */
  #navbar{position:fixed;left:0;right:0;bottom:0;height:56px;display:flex;align-items:center;justify-content:center;gap:18px;
    background:rgba(11,15,46,.92);backdrop-filter:blur(6px);z-index:50;}
  #navbar button{background:#232B5E;color:#fff;border:1px solid #3A447F;border-radius:8px;padding:9px 18px;font-size:13px;
    font-family:'Noto Sans TC',sans-serif;cursor:pointer;transition:background .15s;}
  #navbar button:hover{background:#31396E;}
  #navbar button:disabled{opacity:.35;cursor:default;}
  #counter{color:#C3CBEA;font-size:13px;min-width:64px;text-align:center;font-variant-numeric:tabular-nums;}
  #progress{position:fixed;top:0;left:0;height:3px;background:var(--gold);z-index:60;transition:width .25s;}
  .hint{position:fixed;top:14px;right:20px;color:#7B84AE;font-size:11px;z-index:50;}
</style>
</head>
<body>
<div id="progress"></div>
<div class="hint">← → 鍵切換　·　點兩側可翻頁</div>
<div id="viewport">
  <div id="stage">

<!-- SLIDE 1 : COVER -->
<div class="slide dark">
  <div class="bg-circle" style="width:520px;height:520px;top:-260px;right:-90px;"></div>
  <div class="bg-circle" style="width:340px;height:340px;bottom:-160px;left:-120px;"></div>
  <div style="display:flex;gap:8px;margin-top:26px;">
    <span style="width:14px;height:14px;border-radius:50%;background:var(--case-a);display:inline-block;"></span>
    <span style="width:14px;height:14px;border-radius:50%;background:var(--case-b);display:inline-block;"></span>
    <span style="width:14px;height:14px;border-radius:50%;background:var(--case-c);display:inline-block;"></span>
    <span style="width:14px;height:14px;border-radius:50%;background:var(--case-d);display:inline-block;"></span>
  </div>
  <div style="font-size:12px;font-weight:700;letter-spacing:2px;color:var(--ice);margin-top:14px;">AI 應用產線可行性評估報告</div>
  <div style="font-family:'Noto Serif TC',serif;font-weight:900;font-size:44px;line-height:1.2;margin-top:34px;">
    四個 AI 模型專案<br>建立與規劃案例彙整
  </div>
  <div style="font-size:14px;color:#B7C0E0;margin-top:22px;max-width:920px;line-height:1.5;">
    晶圓缺陷分類・Strip Test Fail Pattern・AOI-CP 電性預測・BGBM SPC 與 AI 導入規劃 — 供管理層評估 AI 導入產線之可行性、成熟度與優先順序
  </div>
  <div style="display:flex;gap:26px;flex-wrap:wrap;margin-top:auto;margin-bottom:56px;">
    <span style="display:flex;align-items:center;gap:8px;font-size:12px;color:#C3CBEA;"><span style="width:22px;height:22px;border-radius:50%;background:var(--case-a);display:inline-flex;align-items:center;justify-content:center;color:#fff;font-size:10px;font-weight:700;">A</span>晶圓缺陷分類系統</span>
    <span style="display:flex;align-items:center;gap:8px;font-size:12px;color:#C3CBEA;"><span style="width:22px;height:22px;border-radius:50%;background:var(--case-b);display:inline-flex;align-items:center;justify-content:center;color:#fff;font-size:10px;font-weight:700;">B</span>Strip Test Fail Pattern AI</span>
    <span style="display:flex;align-items:center;gap:8px;font-size:12px;color:#C3CBEA;"><span style="width:22px;height:22px;border-radius:50%;background:var(--case-c);display:inline-flex;align-items:center;justify-content:center;color:#fff;font-size:10px;font-weight:700;">C</span>AOI 影像 AI 模型（AOI-CP）</span>
    <span style="display:flex;align-items:center;gap:8px;font-size:12px;color:#C3CBEA;"><span style="width:22px;height:22px;border-radius:50%;background:var(--case-d);display:inline-flex;align-items:center;justify-content:center;color:#fff;font-size:10px;font-weight:700;">D</span>BGBM SPC 與 AI 導入規劃</span>
  </div>
  <div class="footer dark-footer"><span>2026 年度總結 · 內部評估報告</span><span>1 / 31</span></div>
</div>

<!-- SLIDE 2 : AGENDA -->
<div class="slide">
  <div class="head">
    <div class="kicker" style="color:var(--navy);">AGENDA</div>
    <div class="title">簡報大綱</div>
    <div class="subtitle">從總覽評估架構出發，逐一檢視四個案例的現況與成熟度，最後彙整成產線導入建議</div>
  </div>
  <div style="display:flex;flex-direction:column;gap:0;margin-top:8px;">
    <!-- rows -->
    <div style="display:flex;align-items:center;padding:11px 0;border-bottom:1px solid #EBEEF4;">
      <span class="icon-circle" style="width:36px;height:36px;background:var(--navy);font-size:13px;">01</span>
      <div style="margin-left:16px;flex:1;"><div class="h2">總覽</div><div style="font-size:11px;color:var(--text-muted);">整體評估架構與四案例總表</div></div>
      <div style="font-size:11px;color:var(--text-faint);">P.03–04</div>
    </div>
    <div style="display:flex;align-items:center;padding:11px 0;border-bottom:1px solid #EBEEF4;">
      <span class="icon-circle" style="width:36px;height:36px;background:var(--case-a);font-size:13px;">A</span>
      <div style="margin-left:16px;flex:1;"><div class="h2">晶圓缺陷分類系統</div><div style="font-size:11px;color:var(--text-muted);">雲端＋本機雙版本，RK30906 實測案例</div></div>
      <div style="font-size:11px;color:var(--text-faint);">P.05–10</div>
    </div>
    <div style="display:flex;align-items:center;padding:11px 0;border-bottom:1px solid #EBEEF4;">
      <span class="icon-circle" style="width:36px;height:36px;background:var(--case-b);font-size:13px;">B</span>
      <div style="margin-left:16px;flex:1;"><div class="h2">Strip Test Fail Pattern AI</div><div style="font-size:11px;color:var(--text-muted);">規則式＋PyTorch 模型，概念驗證階段</div></div>
      <div style="font-size:11px;color:var(--text-faint);">P.11–15</div>
    </div>
    <div style="display:flex;align-items:center;padding:11px 0;border-bottom:1px solid #EBEEF4;">
      <span class="icon-circle" style="width:36px;height:36px;background:var(--case-c);font-size:13px;">C</span>
      <div style="margin-left:16px;flex:1;"><div class="h2">AOI 影像 AI 模型（AOI-CP）</div><div style="font-size:11px;color:var(--text-muted);">四種方法測試，目前卡關待突破</div></div>
      <div style="font-size:11px;color:var(--text-faint);">P.16–20</div>
    </div>
    <div style="display:flex;align-items:center;padding:11px 0;border-bottom:1px solid #EBEEF4;">
      <span class="icon-circle" style="width:36px;height:36px;background:var(--case-d);font-size:13px;">D</span>
      <div style="margin-left:16px;flex:1;"><div class="h2">BGBM SPC 與 AI 導入規劃</div><div style="font-size:11px;color:var(--text-muted);">SPC 儀表板已完成，四階段路線圖</div></div>
      <div style="font-size:11px;color:var(--text-faint);">P.21–25</div>
    </div>
    <div style="display:flex;align-items:center;padding:11px 0;">
      <span class="icon-circle" style="width:36px;height:36px;background:var(--navy);font-size:13px;">02</span>
      <div style="margin-left:16px;flex:1;"><div class="h2">綜合結論</div><div style="font-size:11px;color:var(--text-muted);">成熟度矩陣、導入建議與決策事項</div></div>
      <div style="font-size:11px;color:var(--text-faint);">P.26–30</div>
    </div>
  </div>
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<!-- SLIDE 3 : EXEC SUMMARY -->
<div class="slide">
  <div class="head">
    <div class="kicker" style="color:var(--navy);">EXECUTIVE SUMMARY</div>
    <div class="title">四案例總覽：現況與成熟度一覽</div>
    <div class="subtitle">同一份資產（產線 Log／影像／量測資料）可以走到完全不同的成熟階段——從已上線到目前卡關</div>
  </div>
  <table style="width:100%;border-collapse:collapse;font-size:11.3px;">
    <thead>
      <tr style="background:var(--navy);color:#fff;">
        <th style="text-align:left;padding:10px 12px;border-radius:6px 0 0 6px;">案例</th>
        <th style="text-align:left;padding:10px 12px;">目標</th>
        <th style="text-align:left;padding:10px 12px;">現況成熟度</th>
        <th style="text-align:left;padding:10px 12px;">關鍵指標</th>
        <th style="text-align:left;padding:10px 12px;border-radius:0 6px 6px 0;">建議動作</th>
      </tr>
    </thead>
    <tbody>
      <tr style="background:#F6F8FC;">
        <td style="padding:13px 12px;font-weight:700;color:var(--case-a);">A · 晶圓缺陷分類</td>
        <td style="padding:13px 12px;">8 類缺陷 pattern 自動判定，雲端＋本機雙部署</td>
        <td style="padding:13px 12px;color:var(--green);font-weight:700;">● 已可用 / 已用真實 Lot 驗證</td>
        <td style="padding:13px 12px;">25 片實測、良率規則 + AI 分流全跑通</td>
        <td style="padding:13px 12px;">推廣至產線試營運，複製分流架構</td>
      </tr>
      <tr>
        <td style="padding:13px 12px;font-weight:700;color:var(--case-b);">B · Strip Fail Pattern</td>
        <td style="padding:13px 12px;">13×13 網格 fail 樣態自動分類</td>
        <td style="padding:13px 12px;color:var(--amber);font-weight:700;">◐ 概念驗證 / 準確度尚不穩定</td>
        <td style="padding:13px 12px;">僅 29 筆標記，推論平均信心 31.3%</td>
        <td style="padding:13px 12px;">持續累積標記，規則式先上線</td>
      </tr>
      <tr style="background:#F6F8FC;">
        <td style="padding:13px 12px;font-weight:700;color:var(--case-c);">C · AOI 影像 AI（AOI-CP）</td>
        <td style="padding:13px 12px;">以 AOI 影像預測 CP 電性，降低 Overkill</td>
        <td style="padding:13px 12px;color:var(--red);font-weight:700;">○ 卡關 / 需跨部門資源</td>
        <td style="padding:13px 12px;">四種方法 ROC-AUC 皆 0.48–0.54（近乎隨機）</td>
        <td style="padding:13px 12px;">修 ADC 分類、取得 Layout/GDS 資料</td>
      </tr>
      <tr>
        <td style="padding:13px 12px;font-weight:700;color:var(--case-d);">D · BGBM SPC＋AI 規劃</td>
        <td style="padding:13px 12px;">線上 SPC 監控 ＋ 分階段 AI 導入</td>
        <td style="padding:13px 12px;color:var(--green);font-weight:700;">● 階段一已完成 / 路線圖清楚</td>
        <td style="padding:13px 12px;">SPC 儀表板已交付，抓到真實 9σ 飄移</td>
        <td style="padding:13px 12px;">依路線圖投入階段二～四</td>
      </tr>
    </tbody>
  </table>
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<!-- SLIDE 4 : FRAMEWORK -->
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  <div class="head">
    <div class="kicker" style="color:var(--navy);">EVALUATION FRAMEWORK</div>
    <div class="title">如何解讀本報告：五個評估構面</div>
    <div class="subtitle">每個案例都用相同的五個構面檢視，確保跨案例可以互相比較、排優先順序</div>
  </div>
  <div style="display:flex;flex-direction:column;gap:10px;margin-top:6px;">
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:38px;height:38px;background:var(--case-a);font-size:14px;">①</span>
      <div style="width:220px;font-family:'Noto Serif TC',serif;font-weight:900;font-size:14.5px;">資料就緒度</div>
      <div style="font-size:12px;color:var(--text-muted);">現有資料量、標記品質、是否有乾淨的驗證集</div>
    </div>
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:38px;height:38px;background:var(--case-b);font-size:14px;">②</span>
      <div style="width:220px;font-family:'Noto Serif TC',serif;font-weight:900;font-size:14.5px;">模型準確度／效益</div>
      <div style="font-size:12px;color:var(--text-muted);">模型指標（準確率、ROC-AUC、信心分數）是否達到可用門檻</div>
    </div>
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:38px;height:38px;background:var(--case-c);font-size:14px;">③</span>
      <div style="width:220px;font-family:'Noto Serif TC',serif;font-weight:900;font-size:14.5px;">部署複雜度</div>
      <div style="font-size:12px;color:var(--text-muted);">雲端／本機部署方式、是否需要額外硬體或人力維運</div>
    </div>
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:38px;height:38px;background:var(--case-d);font-size:14px;">④</span>
      <div style="width:220px;font-family:'Noto Serif TC',serif;font-weight:900;font-size:14.5px;">產線整合難度</div>
      <div style="font-size:12px;color:var(--text-muted);">與既有系統（MES／設備 Log／人工複判）銜接的難易度</div>
    </div>
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:38px;height:38px;background:var(--navy);font-size:14px;">⑤</span>
      <div style="width:220px;font-family:'Noto Serif TC',serif;font-weight:900;font-size:14.5px;">建議動作與優先順序</div>
      <div style="font-size:12px;color:var(--text-muted);">現在就能做、需要持續投入，還是需要跨部門資源才能突破</div>
    </div>
  </div>
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<!-- SLIDE 5 : DIVIDER A -->
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  <div style="margin-top:210px;">
    <div style="font-size:13px;font-weight:700;letter-spacing:2px;color:var(--case-a);">案例 A · 01/04</div>
    <div style="width:46px;height:3px;background:var(--case-a);margin:10px 0 18px;"></div>
    <div style="font-family:'Noto Serif TC',serif;font-weight:900;font-size:44px;">晶圓缺陷分類系統</div>
    <div style="font-size:14px;color:#AAB4D4;margin-top:22px;max-width:820px;line-height:1.5;">雲端版與本機版架構、8 類缺陷模式，並以 RK30906 真實 Lot 完整走過一次流程</div>
  </div>
  <div class="footer dark-footer"><span>Wafer Defect Classifier · Cloud + Local Editions</span><span>5 / 31</span></div>
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<!-- SLIDE 6 : A1 -->
<div class="slide">
  <div class="section-tag" style="color:var(--case-a);">案例 A · 晶圓缺陷分類系統</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">背景與雙版本架構</div>
    <div class="subtitle">AI 判斷邏輯完全相同，差別只在「模型在哪裡執行」——依網路、隱私、硬體條件彈性選擇</div>
  </div>
  <div style="display:flex;gap:20px;flex:1;">
    <div style="width:44%;">
      <ul class="bullets">
        <li>以 WM-811K 資料集訓練 ResNet34 模型，8 類缺陷 pattern 自動判定</li>
        <li>良率規則、CSV／dlog 解析、8 類定義完全共用一套邏輯，只差推論位置</li>
        <li>雲端版：兩個獨立 Hugging Face Space（前端 + 模型），免安裝即用</li>
        <li>本機版：單一 Flask + PyTorch 行程，資料與圖片全程不出機、可離線</li>
      </ul>
    </div>
    <div style="flex:1;display:flex;gap:16px;">
      <div class="card tint-a" style="flex:1;">
        <div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:10px;">
          <div style="font-family:'Noto Serif TC',serif;font-weight:900;font-size:16px;color:var(--case-a);">雲端版</div>
          <span class="badge" style="background:var(--case-a);color:#fff;">免安裝即用</span>
        </div>
        <ul class="bullets tight">
          <li>前端無需 GPU/PyTorch，瀏覽器打開即可用</li>
          <li>適合展示、教學、多人共用</li>
          <li>免費方案有休眠喚醒延遲（約 20–30 秒）</li>
        </ul>
      </div>
      <div class="card tint-a" style="flex:1;">
        <div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:10px;">
          <div style="font-family:'Noto Serif TC',serif;font-weight:900;font-size:16px;color:var(--navy);">本機版</div>
          <span class="badge" style="background:var(--navy);color:#fff;">資料不出機</span>
        </div>
        <ul class="bullets tight">
          <li>推論在自己電腦執行（Flask + PyTorch）</li>
          <li>圖片與 log 不上傳外部伺服器</li>
          <li>需自行安裝 Python + PyTorch（約 200MB）</li>
        </ul>
      </div>
    </div>
  </div>
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<!-- SLIDE 7 : A2 -->
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  <div class="section-tag" style="color:var(--case-a);">案例 A · 晶圓缺陷分類系統</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">核心功能與使用流程</div>
    <div class="subtitle">兩個版本共用同一套 Web UI：Single Wafer／Whole Lot／Instructions，操作方式完全相同</div>
  </div>
  <div style="font-size:11px;font-weight:700;color:var(--text-muted);margin-bottom:8px;">8 類缺陷模式（含 None）</div>
  <div style="display:flex;gap:8px;margin-bottom:20px;">
    <div style="flex:1;background:#EAEDF2;border:1px solid #D8DCE6;border-radius:8px;padding:10px 0;text-align:center;font-size:11px;font-weight:700;color:var(--text-muted);">None</div>
    <div style="flex:1;background:var(--case-a-bg);border:1px solid #D5E4E9;border-radius:8px;padding:10px 0;text-align:center;font-size:11px;font-weight:700;color:var(--case-a);">Center</div>
    <div style="flex:1;background:var(--case-a-bg);border:1px solid #D5E4E9;border-radius:8px;padding:10px 0;text-align:center;font-size:11px;font-weight:700;color:var(--case-a);">Donut</div>
    <div style="flex:1;background:var(--case-a-bg);border:1px solid #D5E4E9;border-radius:8px;padding:10px 0;text-align:center;font-size:11px;font-weight:700;color:var(--case-a);">Edge-Loc</div>
    <div style="flex:1;background:var(--case-a-bg);border:1px solid #D5E4E9;border-radius:8px;padding:10px 0;text-align:center;font-size:11px;font-weight:700;color:var(--case-a);">Edge-Ring</div>
    <div style="flex:1;background:var(--case-a-bg);border:1px solid #D5E4E9;border-radius:8px;padding:10px 0;text-align:center;font-size:11px;font-weight:700;color:var(--case-a);">Loc</div>
    <div style="flex:1;background:var(--case-a-bg);border:1px solid #D5E4E9;border-radius:8px;padding:10px 0;text-align:center;font-size:11px;font-weight:700;color:var(--case-a);">Near-Full</div>
    <div style="flex:1;background:var(--case-a-bg);border:1px solid #D5E4E9;border-radius:8px;padding:10px 0;text-align:center;font-size:11px;font-weight:700;color:var(--case-a);">Random</div>
  </div>
  <div style="font-size:11px;font-weight:700;color:var(--text-muted);margin-bottom:8px;">使用流程：良率規則 → AI 模型 兩段式分流</div>
  <div style="display:flex;gap:14px;flex:1;">
    <div class="card" style="flex:1;position:relative;">
      <span class="icon-circle" style="width:34px;height:34px;background:var(--case-a);font-size:13px;">1</span>
      <div class="h2" style="margin-top:10px;">上傳圖片／CSV</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:6px;line-height:1.4;">Single Wafer 上傳晶圓圖，或 Whole Lot 上傳整批測試 log</div>
    </div>
    <div class="card" style="flex:1;position:relative;">
      <span class="icon-circle" style="width:34px;height:34px;background:var(--case-a);font-size:13px;">2</span>
      <div class="h2" style="margin-top:10px;">良率規則判定</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:6px;line-height:1.4;">良率 ≥ 95% 門檻 → 直接判定 None，節省模型推論</div>
    </div>
    <div class="card" style="flex:1;position:relative;">
      <span class="icon-circle" style="width:34px;height:34px;background:var(--case-a);font-size:13px;">3</span>
      <div class="h2" style="margin-top:10px;">AI 模型推論</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:6px;line-height:1.4;">低於門檻者送入 ResNet34，回傳 8 類機率排序 + 64×64 預覽</div>
    </div>
    <div class="card" style="flex:1;position:relative;">
      <span class="icon-circle" style="width:34px;height:34px;background:var(--case-a);font-size:13px;">4</span>
      <div class="h2" style="margin-top:10px;">標籤修正／再訓練</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:6px;line-height:1.4;">判斷不準確可手動修正並存入 corrected_labels/，供後續再訓練</div>
    </div>
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<!-- SLIDE 8 : A3 (chart) -->
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  <div class="section-tag" style="color:var(--case-a);">案例 A · 實測案例 RK30906</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">實測案例：25 片 Wafer 良率分布與分流結果</div>
    <div class="subtitle">真實 Lot RK30906・25 片・CRAFT dlogTDO log，以 95% 門檻套用在真實資料上</div>
  </div>
  <div style="display:flex;gap:18px;flex:1;">
    <div style="flex:1.55;">
      <canvas id="chart8" width="700" height="360"></canvas>
    </div>
    <div style="flex:1;display:flex;flex-direction:column;gap:12px;">
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        <div style="flex:1;text-align:center;">
          <div class="stat-num" style="font-size:26px;color:var(--case-a);">84.76%</div>
          <div class="stat-label">全批平均良率</div>
        </div>
        <div style="flex:1;text-align:center;">
          <div class="stat-num" style="font-size:20px;color:var(--case-a);">52.29–97.71%</div>
          <div class="stat-label">良率區間（#11 → #21）</div>
        </div>
      </div>
      <div class="card" style="flex:1;">
        <div style="font-size:11px;font-weight:700;color:var(--text-muted);margin-bottom:8px;">分流結果</div>
        <div style="display:flex;">
          <div style="flex:1;text-align:center;">
            <div class="stat-num" style="font-size:26px;color:var(--green);">4 片</div>
            <div class="stat-label">良率≥95%，規則直判 None</div>
          </div>
          <div style="flex:1;text-align:center;">
            <div class="stat-num" style="font-size:26px;color:var(--case-a);">21 片</div>
            <div class="stat-label">良率&lt;95%，送入 AI 模型判定</div>
          </div>
        </div>
      </div>
    </div>
  </div>
  <div style="font-size:11px;font-style:italic;color:var(--text-muted);margin-top:6px;">觀察：25 片良率落差明顯，非單一均勻批次；僅 4 片可由規則直接判定，多數仍需 AI 模型判斷 pattern</div>
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<!-- SLIDE 9 : A4 -->
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  <div class="section-tag" style="color:var(--case-a);">案例 A · 實測案例 RK30906</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">從真實資料得到的洞察</div>
    <div class="subtitle">整合良率分佈、主要 Fail 測項、Hotspot 三個角度，得到可執行的下一步建議</div>
  </div>
  <div class="grid g2">
    <div class="card" style="border-left:4px solid var(--case-a);">
      <div class="h2">IR0 系統性主導</div>
      <div style="font-size:11px;color:var(--text-muted);margin-top:6px;line-height:1.5;">96% 的晶圓（24/25）主要 fail 測項同為 IR0（電流測試），遠非隨機分佈，指向共同的測試或製程條件</div>
    </div>
    <div class="card" style="border-left:4px solid var(--case-a);">
      <div class="h2">熱點集中外環</div>
      <div style="font-size:11px;color:var(--text-muted);margin-top:6px;line-height:1.5;">Top 5 熱點座標中，(6,21) 與 (7,17) 兩點在 14/25 片（56%）重複失效，位置偏外環</div>
    </div>
    <div class="card" style="border-left:4px solid var(--green);">
      <div class="h2">分流機制發揮作用</div>
      <div style="font-size:11px;color:var(--text-muted);margin-top:6px;line-height:1.5;">21 片自動送模型判定 pattern、4 片規則直接判定，兼顧速度與正確性</div>
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    <div class="card" style="border-left:4px solid var(--case-a);">
      <div class="h2">非隨機、可追查</div>
      <div style="font-size:11px;color:var(--text-muted);margin-top:6px;line-height:1.5;">系統性訊號較符合探針卡接觸不良或邊緣製程均勻度問題，而非單顆晶片隨機瑕疵</div>
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    <div style="font-size:11px;font-weight:700;color:var(--case-a);margin-bottom:6px;">建議下一步</div>
    <div style="font-size:13px;color:var(--text-dark);">檢查探針卡對位與邊緣接觸點 → 追蹤 IR0 測試條件是否偏移 → 比對歷史 Lot 是否有相同熱點座標</div>
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  <div class="footer"><span>案例 A · 晶圓缺陷分類系統</span><span>9 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-a);">案例 A · 晶圓缺陷分類系統</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">再訓練機制與案例總結</div>
    <div class="subtitle">上線後的模型不會永遠準確，靠「上線→收集回饋→再訓練→驗證→替換」持續進化</div>
  </div>
  <div style="display:flex;gap:20px;">
    <div style="width:44%;">
      <ul class="bullets">
        <li>資料混合策略：原始資料集（基礎泛化）＋人工修正資料（針對性修正）混合訓練</li>
        <li>修正資料 20 倍加權，避免被大量原始資料稀釋、學不到教訓</li>
        <li>驗證集只從原始資料切分，修正資料絕不進驗證集，確保公平比較</li>
        <li>Champion / Challenger：新模型須在同一驗證集勝過舊模型，人工決定才替換，無自動覆蓋風險</li>
      </ul>
    </div>
    <div class="card navy" style="flex:1;">
      <div style="font-size:11px;font-weight:700;color:var(--ice);letter-spacing:1px;margin-bottom:8px;">成熟度評估</div>
      <span class="badge" style="background:var(--green);color:#fff;margin-bottom:10px;">● 已可用 / 已驗證</span>
      <ul class="bullets tight" style="margin-top:10px;">
        <li style="color:#E4E8F7;">架構完整：雲端＋本機雙版本，皆已跑通</li>
        <li style="color:#E4E8F7;">已用真實 25 片 Lot 資料完整驗證分流＋推論流程</li>
        <li style="color:#E4E8F7;">具備可重複的再訓練流程與版本比較機制</li>
        <li style="color:#E4E8F7;">資料隱私可控：本機版資料全程不出機，適合機密產線資料</li>
      </ul>
    </div>
  </div>
  <div class="card tint-a" style="margin-top:14px;">
    <div style="font-size:11px;font-weight:700;color:var(--case-a);margin-bottom:6px;">產線導入建議</div>
    <div style="font-size:12.5px;color:var(--text-dark);line-height:1.5;">四案例中成熟度最高，建議優先正式導入產線試營運；本機版適合機密場景，並可將「良率規則 + AI 模型」兩段式分流架構複製到其他缺陷判讀站別</div>
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  <div class="footer"><span>案例 A · 晶圓缺陷分類系統</span><span>10 / 31</span></div>
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    <div style="font-size:13px;font-weight:700;letter-spacing:2px;color:var(--case-b);">案例 B · 02/04</div>
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    <div style="font-family:'Noto Serif TC',serif;font-weight:900;font-size:40px;">Strip Test Fail Pattern AI</div>
    <div style="font-size:14px;color:#AAB4D4;margin-top:22px;max-width:820px;line-height:1.5;">Stage 1 資料蒐集 → Stage 2 規則式判斷（Route A）→ PyTorch 模型訓練與推論（Route B）</div>
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  <div class="footer dark-footer"><span>Fail Pattern 建模與訓練報告</span><span>11 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-b);">案例 B · Strip Test Fail Pattern AI</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">背景與兩階段架構</div>
    <div class="subtitle">同樣是 fail，發生在邊緣、單一 row，還是整片群聚，代表的製程異常完全不同</div>
  </div>
  <div style="font-size:12.5px;color:var(--text-dark);margin-bottom:14px;line-height:1.5;">半導體 Strip Test 產出大量以 13×13 網格記錄的 pass/fail 資料，需要辨識 fail 分佈的空間樣態（Edge-Ring、Cluster、Row-Streak…），以協助製程異常診斷。</div>
  <div style="display:flex;gap:14px;flex:1;">
    <div class="card tint-b" style="flex:1;">
      <div class="h2">STAGE 1 · 資料蒐集</div>
      <span class="badge" style="background:var(--navy);color:#fff;margin:8px 0;">既有工具</span>
      <ul class="bullets tight" style="margin-top:8px;">
        <li>把原始 xls log 轉成「每個 strip 一筆」的結構化樣本</li>
        <li>特徵向量 ＋ 13×13 空間網格</li>
        <li>提供人工標記介面，產出可餵給模型的 dataset</li>
      </ul>
    </div>
    <div class="card tint-b" style="flex:1;">
      <div class="h2">STAGE 2 · Route A 規則式</div>
      <span class="badge" style="background:var(--green);color:#fff;margin:8px 0;">已上線</span>
      <ul class="bullets tight" style="margin-top:8px;">
        <li>拿 Stage 1 dataset 做規則式初步分類</li>
        <li>工程師建立人工標記（manualLabel）作為 ground truth</li>
        <li>門檻需人工調校，混合型 pattern 較難處理</li>
      </ul>
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    <div class="card tint-b" style="flex:1;">
      <div class="h2">STAGE 2 · Route B PyTorch</div>
      <span class="badge" style="background:var(--case-b);color:#fff;margin:8px 0;">本報告主軸</span>
      <ul class="bullets tight" style="margin-top:8px;">
        <li>train_fail_pattern_stage2.py（訓練）</li>
        <li>predict_fail_pattern.py（推論）＋ .pt 模型檔</li>
        <li>銜接既有 Stage1/2 工作流程，離開瀏覽器環境</li>
      </ul>
    </div>
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  <div class="footer"><span>案例 B · Strip Test Fail Pattern AI</span><span>12 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-b);">案例 B · Strip Test Fail Pattern AI</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">資料設計與模型架構</div>
    <div class="subtitle">兩條模型路線並行：Tabular 特徵 MLP，以及 Grid 影像化 CNN</div>
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      <div class="h2" style="font-size:15px;">TabularMLP · 16 維特徵向量</div>
      <ul class="bullets" style="margin-top:10px;">
        <li>8 個統計特徵：yield、edgeFailRatio、clusterScore…等</li>
        <li>2 個外接框比例：bboxW / bboxH（正規化）</li>
        <li>6 個逐測試項失效率：VTH／VFSD／IPD-10V／IDSS1-3</li>
        <li>特徵本身可解釋，是判斷依據的一部分</li>
      </ul>
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      <div class="h2" style="font-size:15px;">GridCNN · 8-channel 影像張量</div>
      <ul class="bullets" style="margin-top:10px;">
        <li>13×13 grid → One-hot Channel Tensor（8 channels）</li>
        <li>只允許水平／垂直翻轉，不允許旋轉（避免改變樣態語意）</li>
        <li>資料增強最多放大訓練樣本 4 倍，緩解小樣本 overfitting</li>
        <li>保留空間資訊，適合學習規則式難以描述的混合樣態</li>
      </ul>
    </div>
  </div>
  <div style="font-size:11px;font-style:italic;color:var(--text-muted);">7 個已知異常樣態：Random/Scatter · Edge-Ring · Corner · Center · Row-Streak · Column-Streak · Cluster · Full-Fail</div>
  <div class="footer"><span>案例 B · Strip Test Fail Pattern AI</span><span>13 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-b);">案例 B · Strip Test Fail Pattern AI</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">Fail Pattern 類別範例：模型如何辨認樣態</div>
    <div class="subtitle">以下為 Stage 1 人工標記選項對應的典型空間樣態示意（示意用簡化網格，非真實資料）；Route B 的 GridCNN 學的正是這種「整片形狀」，而非單一測項數字</div>
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      <div class="pg-grid" id="pg-none"></div>
      <div style="font-weight:700;font-size:11.5px;margin-top:8px;">None</div>
      <div style="font-size:9.5px;color:var(--text-muted);margin-top:2px;">全數 pass，無異常</div>
    </div>
    <div class="card" style="text-align:center;padding:10px 8px;">
      <div class="pg-grid" id="pg-random"></div>
      <div style="font-weight:700;font-size:11.5px;margin-top:8px;">Random / Scatter</div>
      <div style="font-size:9.5px;color:var(--text-muted);margin-top:2px;">零星分佈，無特定規律</div>
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    <div class="card" style="text-align:center;padding:10px 8px;">
      <div class="pg-grid" id="pg-edgering"></div>
      <div style="font-weight:700;font-size:11.5px;margin-top:8px;">Edge-Ring</div>
      <div style="font-size:9.5px;color:var(--text-muted);margin-top:2px;">集中在 strip 邊緣</div>
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    <div class="card" style="text-align:center;padding:10px 8px;">
      <div class="pg-grid" id="pg-corner"></div>
      <div style="font-weight:700;font-size:11.5px;margin-top:8px;">Corner</div>
      <div style="font-size:9.5px;color:var(--text-muted);margin-top:2px;">集中在單一角落</div>
    </div>
    <div class="card" style="text-align:center;padding:10px 8px;">
      <div class="pg-grid" id="pg-center"></div>
      <div style="font-weight:700;font-size:11.5px;margin-top:8px;">Center</div>
      <div style="font-size:9.5px;color:var(--text-muted);margin-top:2px;">集中在中心區域</div>
    </div>
    <div class="card" style="text-align:center;padding:10px 8px;">
      <div class="pg-grid" id="pg-rowstreak"></div>
      <div style="font-weight:700;font-size:11.5px;margin-top:8px;">Row-Streak</div>
      <div style="font-size:9.5px;color:var(--text-muted);margin-top:2px;">單一橫向 row 整排 fail</div>
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    <div class="card" style="text-align:center;padding:10px 8px;">
      <div class="pg-grid" id="pg-colstreak"></div>
      <div style="font-weight:700;font-size:11.5px;margin-top:8px;">Column-Streak</div>
      <div style="font-size:9.5px;color:var(--text-muted);margin-top:2px;">單一縱向 column 整排 fail</div>
    </div>
    <div class="card" style="text-align:center;padding:10px 8px;">
      <div class="pg-grid" id="pg-cluster"></div>
      <div style="font-weight:700;font-size:11.5px;margin-top:8px;">Cluster</div>
      <div style="font-size:9.5px;color:var(--text-muted);margin-top:2px;">局部小範圍群聚</div>
    </div>
    <div class="card" style="text-align:center;padding:10px 8px;">
      <div class="pg-grid" id="pg-fullfail"></div>
      <div style="font-weight:700;font-size:11.5px;margin-top:8px;">Full-Fail</div>
      <div style="font-size:9.5px;color:var(--text-muted);margin-top:2px;">整片幾乎全數 fail</div>
    </div>
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    <div style="font-size:10.5px;color:var(--text-dark);line-height:1.4;"><b style="color:var(--case-b);">辨認邏輯：</b>TabularMLP 看的是數字特徵（yield、edgeFailRatio…）；GridCNN 則把上面這種 13×13 網格當「圖片」看，直接學習形狀本身──這也是為何 Edge-Ring 與 Corner 這類位置相關的樣態，用影像模型比純數字特徵更容易分辨。</div>
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  <div class="footer"><span>案例 B · Strip Test Fail Pattern AI</span><span>14 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-b);">案例 B · Strip Test Fail Pattern AI</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">現況結果：標記樣本少、推論信心偏低</div>
    <div class="subtitle">大規模推論（predictions.csv）：148 個 Lot、3,532 筆 Strip，平均信心分數僅 31.3%</div>
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  <div class="grid g4" style="margin-bottom:14px;">
    <div class="card tint-b" style="text-align:center;"><div class="stat-num" style="font-size:24px;color:var(--case-b);">29 筆</div><div class="stat-label">已人工標記樣本</div></div>
    <div class="card tint-b" style="text-align:center;"><div class="stat-num" style="font-size:24px;color:var(--case-b);">7 類</div><div class="stat-label">fail pattern 類別</div></div>
    <div class="card tint-b" style="text-align:center;"><div class="stat-num" style="font-size:24px;color:var(--case-b);">3,532 筆</div><div class="stat-label">大規模推論總量</div></div>
    <div class="card tint-b" style="text-align:center;"><div class="stat-num" style="font-size:24px;color:var(--case-b);">31.3%</div><div class="stat-label">平均信心分數</div></div>
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    <div style="flex:1.5;"><canvas id="chart14" width="620" height="330"></canvas></div>
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      <div style="font-size:11px;font-weight:700;color:var(--red);margin-bottom:6px;">關鍵洞察</div>
      <div class="h2" style="font-size:15px;">模型從未學過「None」類別</div>
      <ul class="bullets tight" style="margin-top:10px;">
        <li>訓練只保留 manualLabel 非空樣本，模型沒有「None」選項</li>
        <li>推論資料含大量應為 None 的良品 strip，模型被迫強制分類</li>
        <li>預測高度集中於 Random/Scatter（74.4%）與 Edge-Ring（24.9%）</li>
      </ul>
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  <div class="footer"><span>案例 B · Strip Test Fail Pattern AI</span><span>15 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-b);">案例 B · Strip Test Fail Pattern AI</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">限制、建議與案例總結</div>
    <div class="subtitle">現階段屬於概念驗證，應與規則式 Route A 並行使用，而非直接取代人工複核</div>
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    <div class="card">
      <div style="font-size:11px;font-weight:700;color:var(--text-muted);margin-bottom:8px;">主要限制</div>
      <ul class="bullets" style="color:var(--red);">
        <li style="color:var(--text-dark);">樣本量過小且分佈不均：全數僅 29 筆，Corner 僅 1 筆</li>
        <li style="color:var(--text-dark);">模型未學習「None／正常」類別，推論產生誤報</li>
        <li style="color:var(--text-dark);">推論信心普遍偏低，尚不足以完全取代人工複核</li>
        <li style="color:var(--text-dark);">Route A／Route B 準確率差異尚未量化比較</li>
      </ul>
    </div>
    <div class="card tint-b">
      <div style="font-size:11px;font-weight:700;color:var(--case-b);margin-bottom:8px;">下一步建議</div>
      <ul class="bullets">
        <li>持續蒐集標記，優先補足 Corner／Cluster／Center 等稀少類別</li>
        <li>訓練資料加入「None／正常」類別，避免強制誤判</li>
        <li>每個類別累積 30～50 筆以上，再評估切換路線 B</li>
        <li>建立信心門檻（如 &lt;50%）自動退回人工複核，定期重訓</li>
      </ul>
    </div>
  </div>
  <div class="card navy" style="margin-top:14px;">
    <div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:8px;">
      <div style="font-size:11px;font-weight:700;color:var(--ice);">成熟度評估與產線導入建議</div>
      <span class="badge" style="background:var(--amber);color:#fff;">◐ 概念驗證階段</span>
    </div>
    <div style="font-size:12px;color:#E4E8F7;line-height:1.55;">已建立完整工具鏈並雲端化（3 個 HF Space/Repo），全程瀏覽器操作、免本機安裝、單一 CPU 即可訓練。但受限樣本量，不建議獨立上線；應維持路線 A 上線把關、路線 B 背景平行訓練，待驗證集準確率穩定超過路線 A 再接手。</div>
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  <div class="footer"><span>案例 B · Strip Test Fail Pattern AI</span><span>16 / 31</span></div>
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    <div style="font-size:13px;font-weight:700;letter-spacing:2px;color:var(--case-c);">案例 C · 03/04</div>
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    <div style="font-family:'Noto Serif TC',serif;font-weight:900;font-size:44px;">AOI 影像 AI 模型</div>
    <div style="font-size:14px;color:#AAB4D4;margin-top:22px;max-width:820px;line-height:1.5;">以 AOI 瑕疵影像預測 CP 電性結果，降低人工複判負擔 — 進度報告：目前卡關的原因與下一步建議</div>
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  <div class="footer dark-footer"><span>AOI-CP 對應分析專案</span><span>17 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-c);">案例 C · AOI 影像 AI 模型（AOI-CP）</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">背景與目標</div>
    <div class="subtitle">AOI 用光學閾值判斷瑕疵，無法分辨「真的會影響電性」跟「外觀異常但其實沒事」</div>
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  <div style="display:flex;gap:20px;margin-bottom:16px;">
    <div class="card tint-c" style="flex:1;text-align:center;padding:20px;">
      <div class="stat-num" style="font-size:38px;color:var(--red);">≈ 90%</div>
      <div style="font-size:12px;color:var(--text-muted);margin-top:8px;">AOI 標記異常中，事後電性測試（CP）其實正常，屬於誤殺 Overkill</div>
    </div>
    <div style="flex:1;display:flex;align-items:center;font-size:13px;color:var(--text-dark);line-height:1.6;">
      目標：訓練 AI 模型，讓 AOI 站別自動預判「這顆瑕疵會不會真的讓 CP Fail」，減少人工複判工作量，複判資源留給真正不確定的案例
    </div>
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  <div style="font-size:11px;font-weight:700;color:var(--text-muted);margin-bottom:8px;">資料規模：已經不是問題</div>
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      <div style="font-size:10.5px;font-weight:700;color:var(--case-c);">第一階段</div>
      <div class="stat-num" style="font-size:24px;color:var(--text-dark);margin-top:4px;">36 顆</div>
      <div style="font-size:9.5px;color:var(--text-faint);">confirmed 樣本</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:8px;">12 片 wafer・初步驗證資料格式</div>
    </div>
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      <div style="font-size:10.5px;font-weight:700;color:var(--case-c);">第二階段</div>
      <div class="stat-num" style="font-size:24px;color:var(--text-dark);margin-top:4px;">224 顆</div>
      <div style="font-size:9.5px;color:var(--text-faint);">confirmed 樣本</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:8px;">2 批 lot・建立圖片資料集</div>
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      <div style="font-size:10.5px;font-weight:700;color:var(--case-c);">第三階段</div>
      <div class="stat-num" style="font-size:24px;color:var(--text-dark);margin-top:4px;">422 顆</div>
      <div style="font-size:9.5px;color:var(--text-faint);">confirmed 樣本</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:8px;">12 批 lot・1,902 筆・正式跨過 300+ 門檻</div>
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  <div class="footer"><span>案例 C · AOI 影像 AI 模型</span><span>18 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-c);">案例 C · AOI 影像 AI 模型（AOI-CP）</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">四種方法，一致的失敗結果</div>
    <div class="subtitle">每種方法都用「依 wafer 分組」驗證，避免資料洩漏灌水；1,902 筆資料上全部測過</div>
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        <div class="stat-num" style="font-size:30px;color:var(--red);">0.48 ～ 0.54</div>
        <div style="font-size:11px;color:var(--text-muted);margin-top:8px;">四次結果全部落在此區間，等同丟銅板</div>
        <div style="font-size:10px;color:var(--text-muted);margin-top:8px;">ROC-AUC = 0.5 代表模型完全沒有分辨能力</div>
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        <div style="font-size:11px;font-weight:700;color:var(--text-muted);margin-bottom:6px;">實用門檻參考</div>
        <div style="font-size:11.5px;color:var(--text-dark);line-height:1.5;">業界瑕疵分類／風控應用通常需 ROC-AUC ≥ 0.70 才具備獨立判斷的實用價值，目前離門檻還有明顯差距</div>
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  <div class="footer"><span>案例 C · AOI 影像 AI 模型</span><span>19 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-c);">案例 C · AOI 影像 AI 模型（AOI-CP）</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">為什麼卡住：兩個根本原因</div>
    <div class="subtitle">四種獨立方法一致失敗，不太可能是巧合——已先排除「標籤錯亂」這個容易誤判的可能性</div>
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  <div class="card tint-green" style="display:flex;gap:14px;align-items:flex-start;margin-bottom:14px;">
    <span class="icon-circle" style="width:32px;height:32px;background:var(--green);font-size:15px;flex:none;">✓</span>
    <div>
      <div class="h2">已排除的可能性：座標配對邏輯是乾淨的</div>
      <div style="font-size:11.5px;color:var(--text-muted);margin-top:6px;line-height:1.5;">用 25 片 wafer、199 筆有 CP 對照的瑕疵逐一核對，符合率 100%；歷史「Y 軸反向」矛盾已查清並記錄。四次結果不是標籤錯亂造成的假陰性。</div>
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      <div class="h2" style="font-size:15px;">瑕疵照片缺乏「語意」資訊</div>
      <div style="font-size:11.5px;color:var(--text-muted);margin-top:10px;line-height:1.55;">500×500 裁切照片只能看到瑕疵旁有沒有可見圖案，但看不出是關鍵電路結構（bump/pad/訊號線）還是純裝飾區域。真正關鍵的「這個座標壓到了什麼電路結構」，目前照片與表格數字都沒有捕捉到。</div>
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      <div class="h2" style="font-size:15px;">AOI 自動分類（ADC）實質沒有運作</div>
      <div style="font-size:11.5px;color:var(--text-muted);margin-top:10px;line-height:1.55;">約 96% 的瑕疵代碼是「22」，而這個代碼在機台自己的分類定義表裡根本不存在。代表 AOI 站別的自動缺陷分類功能形同虛設，少了「這是什麼種類瑕疵」的關鍵資訊來源。</div>
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  <div class="footer"><span>案例 C · AOI 影像 AI 模型</span><span>20 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-c);">案例 C · AOI 影像 AI 模型（AOI-CP）</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">下一步建議、需要的支持與案例總結</div>
    <div class="subtitle">不再期待單純加量能翻盤，關鍵在於補齊「語意」資訊</div>
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    <div class="card" style="display:flex;align-items:center;gap:14px;padding:10px 16px;">
      <span class="badge" style="background:var(--case-c);color:#fff;width:60px;">優先</span>
      <div style="width:270px;font-weight:700;font-size:12.5px;">修正 AOI 站別 ADC 分類設定</div>
      <div style="font-size:11px;color:var(--text-muted);">與 AOI 工程師確認自動分類功能是否啟用、分類規則庫是否需重建</div>
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    <div class="card" style="display:flex;align-items:center;gap:14px;padding:10px 16px;">
      <span class="badge" style="background:var(--case-c);color:#fff;width:60px;">關鍵</span>
      <div style="width:270px;font-weight:700;font-size:12.5px;">評估取得 Layout / GDS 電路結構資訊</div>
      <div style="font-size:11px;color:var(--text-muted);">疊加「座標是否落在關鍵結構上」，是唯一可能突破天花板的方向</div>
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    <div class="card" style="display:flex;align-items:center;gap:14px;padding:10px 16px;">
      <span class="badge" style="background:var(--case-c);color:#fff;width:60px;">持續</span>
      <div style="width:270px;font-weight:700;font-size:12.5px;">調整樣本收集優先順序</div>
      <div style="font-size:11px;color:var(--text-muted);">優先收集「同一顆 die 多瑕疵、已知責任瑕疵」案例，改善標籤精確度</div>
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    <div class="card" style="display:flex;align-items:center;gap:14px;padding:10px 16px;">
      <span class="badge" style="background:var(--case-c);color:#fff;width:60px;">並行</span>
      <div style="width:270px;font-weight:700;font-size:12.5px;">維持分級複判架構的長期規劃</div>
      <div style="font-size:11px;color:var(--text-muted);">不需等模型達 70% 準確率才上線，可先建立信心區間、未來套用同一套架構</div>
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  <div class="card navy" style="margin-top:12px;">
    <div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:8px;">
      <div style="font-size:11px;font-weight:700;color:var(--ice);">成熟度評估與產線導入建議</div>
      <span class="badge" style="background:var(--red);color:#fff;">○ 卡關 / 需支援</span>
    </div>
    <div style="font-size:11.8px;color:#E4E8F7;line-height:1.5;">四案例中風險最高：現有影像＋表格資料已測試到技術天花板，需管理層裁示是否投入跨部門資源（ADC 重建、GDS 取得），否則此路徑難以突破，建議先以「輔助人工複判」小規模試行。</div>
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  <div class="footer"><span>案例 C · AOI 影像 AI 模型</span><span>21 / 31</span></div>
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    <div style="font-size:13px;font-weight:700;letter-spacing:2px;color:var(--case-d);">案例 D · 04/04</div>
    <div style="width:46px;height:3px;background:var(--case-d);margin:10px 0 18px;"></div>
    <div style="font-family:'Noto Serif TC',serif;font-weight:900;font-size:40px;">BGBM SPC 與 AI 導入規劃</div>
    <div style="font-size:14px;color:#AAB4D4;margin-top:22px;max-width:820px;line-height:1.5;">從既有設備 Log，走出「線上 SPC → AI 模型」的第一步 — SPC 儀表板已完成交付，AI 導入分四階段推進</div>
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  <div class="footer dark-footer"><span>設備 MA20-3113 · BGBM 製程</span><span>22 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-d);">案例 D · BGBM SPC 與 AI 導入規劃</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">背景與已完成成果</div>
    <div class="subtitle">不只是規劃，是可以直接打開使用的成果 — BGBM_SPC_Dashboard.html</div>
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  <div class="grid g4" style="margin-bottom:12px;">
    <div class="card tint-d" style="text-align:center;"><div class="stat-num" style="font-size:24px;color:var(--case-d);">100</div><div class="stat-label">Log 檔案</div></div>
    <div class="card tint-d" style="text-align:center;"><div class="stat-num" style="font-size:24px;color:var(--case-d);">3,420</div><div class="stat-label">晶圓×腔體記錄筆數</div></div>
    <div class="card tint-d" style="text-align:center;"><div class="stat-num" style="font-size:24px;color:var(--case-d);">52</div><div class="stat-label">批次 (Lot)</div></div>
    <div class="card tint-d" style="text-align:center;"><div class="stat-num" style="font-size:24px;color:var(--case-d);">4+1</div><div class="stat-label">製程腔體＋真空腔</div></div>
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  <div style="font-size:11.5px;color:var(--text-dark);line-height:1.55;margin-bottom:14px;">BGBM＝ Back Grinding Back Metal（晶圓背面研磨＋背面金屬化）；機台以濺鍍（Sputtering）技術依序鍍上 Ti／Ni／Ag 三層金屬。分析期間 2026/05/29–06/04，設備本身已把每秒數據整理成統計摘要，不需從零做資料工程，這也是「上線 SPC」能在 1–2 週內完成的原因。</div>
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    <div class="h2">已完成：線上 SPC 監控儀表板（BGBM_SPC_Dashboard.html）</div>
    <div class="grid g4" style="margin-top:12px;">
      <div><div style="font-size:18px;">🟢</div><div style="font-size:11px;font-weight:700;color:var(--case-d);margin-top:6px;">腔體即時狀態卡</div><div style="font-size:9.5px;color:var(--text-muted);margin-top:4px;line-height:1.4;">Ti/Ni/Ag/L11 四張卡片，一眼看出每個腔體目前正常／警戒／超限</div></div>
      <div><div style="font-size:18px;">📈</div><div style="font-size:11px;font-weight:700;color:var(--case-d);margin-top:6px;">SPC 管制圖 (I-Chart)</div><div style="font-size:9.5px;color:var(--text-muted);margin-top:4px;line-height:1.4;">自動用歷史資料算出管制界線，並能抓「連續同側偏移」隱藏趨勢</div></div>
      <div><div style="font-size:18px;">🚨</div><div style="font-size:11px;font-weight:700;color:var(--case-d);margin-top:6px;">異常事件記錄</div><div style="font-size:9.5px;color:var(--text-muted);margin-top:4px;line-height:1.4;">自動列出所有超限／警戒事件，工程師可直接追查是哪個批次、哪片晶圓</div></div>
      <div><div style="font-size:18px;">🎯</div><div style="font-size:11px;font-weight:700;color:var(--case-d);margin-top:6px;">靶材壽命追蹤</div><div style="font-size:9.5px;color:var(--text-muted);margin-top:4px;line-height:1.4;">Ti/Ni/Ag 累積耗用量趨勢圖，自動標出重置點（推測為換靶事件）</div></div>
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  <div class="footer"><span>案例 D · BGBM SPC 與 AI 導入規劃</span><span>23 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-d);">案例 D · BGBM SPC 與 AI 導入規劃</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">真實案例：從既有 Log 挖到的訊號</div>
    <div class="subtitle">這些不是模擬案例，而是儀表板從真實製程 Log 抓出的實際訊號</div>
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    <div class="card tint-d">
      <div class="h2">① Ti 腔濺鍍電壓永久性飄移</div>
      <div style="display:flex;gap:10px;margin:12px 0;">
        <div style="flex:1;text-align:center;"><div class="stat-num" style="font-size:19px;color:var(--case-d);">396.1V → 385.6V</div><div class="stat-label">6/3 之後永久性下降</div></div>
        <div style="flex:1;text-align:center;"><div class="stat-num" style="font-size:22px;color:var(--case-d);">≈ 9σ</div><div class="stat-label">飄移量，影響 200+ 筆資料</div></div>
      </div>
      <div style="font-size:11px;color:var(--text-dark);line-height:1.55;">此後都維持在新水準，不是單點雜訊，而是跨多個批次的持續性轉變。這證明只要有上線 SPC 監控，這種轉變在「發生的當下」就能被抓到，而不是像現在靠事後分析 Log 才發現——這是規劃「線上 SPC」的第一個具體理由。</div>
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      <div class="h2">② 靶材累積耗用量呈鋸齒狀趨勢</div>
      <div style="text-align:center;margin:12px 0;"><div class="stat-num" style="font-size:24px;color:var(--case-d);">159 → 7.68 kWh</div><div class="stat-label">Ni 腔曾一次驟降（推測為換靶或保養事件）</div></div>
      <div style="font-size:11px;color:var(--text-dark);line-height:1.55;">Ti／Ni／Ag 三腔體都有各自的累積耗用功率計數器，數值持續上升並在特定時間點下降重置。只要確認這個計數器的定義，就能拿它來預測「還能撐多少批次、什麼時候該換靶材」——這正是「預測性維護 PM」的具體應用場景。</div>
      <div style="font-size:9.5px;font-style:italic;color:var(--text-muted);margin-top:10px;line-height:1.4;">另有兩個額外可監控訊號：製程時間一致性與真空抽氣時間，可提前排定保養。</div>
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  <div class="footer"><span>案例 D · BGBM SPC 與 AI 導入規劃</span><span>24 / 31</span></div>
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  <div class="section-tag" style="color:var(--case-d);">案例 D · BGBM SPC 與 AI 導入規劃</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">AI 模型分階段導入地圖</div>
    <div class="subtitle">原則：由易到難、分階段導入，每階段都能立即產生價值，後面階段直接沿用前面建立的資料管線</div>
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      <span class="icon-circle" style="width:40px;height:40px;background:var(--green);font-size:14px;">01</span>
      <div style="flex:1;"><div class="h2">SPC 即時監控儀表板</div><div style="font-size:10.5px;color:var(--text-muted);margin-top:3px;">直接用設備算好的統計值做管制圖，不需複雜運算</div></div>
      <div style="width:90px;text-align:center;font-size:12px;font-weight:700;">1–2 週</div>
      <span class="badge" style="background:var(--green);color:#fff;width:100px;">已完成</span>
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    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:40px;height:40px;background:var(--case-d);font-size:14px;">02</span>
      <div style="flex:1;"><div class="h2">靶材壽命／PM 預測</div><div style="font-size:10.5px;color:var(--text-muted);margin-top:3px;">用累積量＋使用速率預測何時該保養／換靶</div></div>
      <div style="width:90px;text-align:center;font-size:12px;font-weight:700;">約 1 個月</div>
      <span class="badge" style="background:var(--amber);color:#fff;width:100px;">規劃中</span>
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    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:40px;height:40px;background:var(--case-d);font-size:14px;">03</span>
      <div style="flex:1;"><div class="h2">多變量異常偵測</div><div style="font-size:10.5px;color:var(--text-muted);margin-top:3px;">用完整製程曲線（PCA/Autoencoder）算出每片 wafer 健康分數</div></div>
      <div style="width:90px;text-align:center;font-size:12px;font-weight:700;">2–3 個月</div>
      <span class="badge" style="background:var(--amber);color:#fff;width:100px;">規劃中</span>
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    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:40px;height:40px;background:#98A2B3;font-size:14px;">04</span>
      <div style="flex:1;"><div class="h2">虛擬量測／良率模型</div><div style="font-size:10.5px;color:var(--text-muted);margin-top:3px;">用製程參數即時預測膜厚等品質結果，需先串接 MES 量測資料</div></div>
      <div style="width:90px;text-align:center;font-size:12px;font-weight:700;">需額外資料</div>
      <span class="badge" style="background:#98A2B3;color:#fff;width:100px;">待資料到位</span>
    </div>
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  <div class="footer"><span>案例 D · BGBM SPC 與 AI 導入規劃</span><span>25 / 31</span></div>
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<!-- SLIDE 25 : D4 -->
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  <div class="section-tag" style="color:var(--case-d);">案例 D · BGBM SPC 與 AI 導入規劃</div>
  <div class="head" style="margin-top:2px;">
    <div class="title">下一步建議與案例總結</div>
    <div class="subtitle">已具備的基礎：解析程式、圖表產生程式碼、可直接使用的 SPC 儀表板，皆已完成並可重複使用</div>
  </div>
  <div class="grid g3" style="margin-bottom:14px;">
    <div class="card tint-d">
      <span class="icon-circle" style="width:32px;height:32px;background:var(--case-d);font-size:13px;">1</span>
      <div class="h2" style="margin-top:8px;">確認計數器定義</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:6px;line-height:1.4;">與設備工程師確認『Total Power』計數器與 Rough/Vent Time alarm 欄位的實際物理意義，避免誤判</div>
    </div>
    <div class="card tint-d">
      <span class="icon-circle" style="width:32px;height:32px;background:var(--case-d);font-size:13px;">2</span>
      <div class="h2" style="margin-top:8px;">資料庫化</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:6px;line-height:1.4;">所有 Log 檔統一以 Lot ID + Wafer No + 時間建立資料庫化長期儲存（目前為逐檔文字檔）</div>
    </div>
    <div class="card tint-d">
      <span class="icon-circle" style="width:32px;height:32px;background:var(--case-d);font-size:13px;">3</span>
      <div class="h2" style="margin-top:8px;">串接量測資料</div>
      <div style="font-size:10.5px;color:var(--text-muted);margin-top:6px;line-height:1.4;">若能取得對應批次量測／良率資料，可在 4–6 週內完成第一版虛擬量測 POC</div>
    </div>
  </div>
  <div class="card navy" style="flex:1;">
    <div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:8px;">
      <div style="font-size:11px;font-weight:700;color:var(--ice);">成熟度評估與產線導入建議</div>
      <span class="badge" style="background:var(--green);color:#fff;">● 階段一已完成</span>
    </div>
    <div style="font-size:12px;color:#E4E8F7;line-height:1.55;">不需要等待完美的資料基礎建設，已用現有 Log 證明：真實製程飄移抓得到、靶材壽命有跡可循、線上監控儀表板已能直接打開使用。四案例中「立即可複製性」最高——建議將 SPC 儀表板模式推廣到其他設備／站別，AI 階段依路線圖分階段投入，優先完成階段二靶材壽命預測。</div>
    <div style="font-size:11px;font-style:italic;color:#AAB4D4;margin-top:10px;">下一步：確認計數器定義 → 資料庫化 → 串接量測資料</div>
  </div>
  <div class="footer"><span>案例 D · BGBM SPC 與 AI 導入規劃</span><span>26 / 31</span></div>
</div>

<!-- SLIDE 26 : DIVIDER E -->
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  <div class="bg-circle" style="width:480px;height:480px;top:-260px;right:-40px;"></div>
  <div class="bg-circle" style="width:320px;height:320px;bottom:-160px;left:-100px;"></div>
  <div style="margin-top:210px;">
    <div style="font-size:13px;font-weight:700;letter-spacing:2px;color:var(--gold);">綜合結論</div>
    <div style="width:46px;height:3px;background:var(--gold);margin:10px 0 18px;"></div>
    <div style="font-family:'Noto Serif TC',serif;font-weight:900;font-size:44px;">產線導入建議與決策</div>
    <div style="font-size:14px;color:#AAB4D4;margin-top:22px;max-width:820px;line-height:1.5;">整合四個案例的成熟度、準確度與資源需求，提出可執行的產線導入優先順序建議</div>
  </div>
  <div class="footer dark-footer"><span>Cross-Case Synthesis &amp; Recommendation</span><span>27 / 31</span></div>
</div>

<!-- SLIDE 27 : QUADRANT -->
<div class="slide">
  <div class="kicker" style="color:var(--navy);">SYNTHESIS</div>
  <div class="title">四案例成熟度矩陣</div>
  <div class="subtitle">橫軸：資料／技術就緒度；縱軸：模型準確度／效益 — 位置愈右上，愈適合優先投入產線</div>
  <div style="display:flex;gap:24px;flex:1;margin-top:10px;">
    <div style="position:relative;width:660px;height:440px;border:1px solid #C7CEDD;">
      <div style="position:absolute;left:0;top:0;width:50%;height:50%;background:#FBF1DF;"></div>
      <div style="position:absolute;left:50%;top:0;width:50%;height:50%;background:#E6F4EC;"></div>
      <div style="position:absolute;left:0;top:50%;width:50%;height:50%;background:#FBEAE8;"></div>
      <div style="position:absolute;left:50%;top:50%;width:50%;height:50%;background:#EAF0FB;"></div>
      <div style="position:absolute;left:50%;top:0;width:0;height:100%;border-left:1px dashed #C7CEDD;"></div>
      <div style="position:absolute;left:0;top:50%;width:100%;height:0;border-top:1px dashed #C7CEDD;"></div>

      <div style="position:absolute;left:8px;top:8px;font-size:10px;font-weight:700;color:var(--amber);">潛力大但需驗證</div>
      <div style="position:absolute;right:8px;top:8px;font-size:10px;font-weight:700;color:var(--green);">可規模化推廣</div>
      <div style="position:absolute;left:8px;bottom:8px;font-size:10px;font-weight:700;color:var(--red);">需要突破性資源投入</div>
      <div style="position:absolute;right:8px;bottom:8px;font-size:10px;font-weight:700;color:var(--navy);">基礎已備，效益待提升</div>

      <!-- bubble A -->
      <div style="position:absolute;left:82%;top:18%;transform:translate(-50%,-50%);width:64px;height:64px;border-radius:50%;background:var(--case-a);border:2px solid #fff;box-shadow:0 4px 10px rgba(0,0,0,.25);display:flex;align-items:center;justify-content:center;color:#fff;font-family:'Noto Serif TC',serif;font-weight:900;font-size:20px;">A</div>
      <!-- bubble D -->
      <div style="position:absolute;left:66%;top:35%;transform:translate(-50%,-50%);width:64px;height:64px;border-radius:50%;background:var(--case-d);border:2px solid #fff;box-shadow:0 4px 10px rgba(0,0,0,.25);display:flex;align-items:center;justify-content:center;color:#fff;font-family:'Noto Serif TC',serif;font-weight:900;font-size:20px;">D</div>
      <!-- bubble B -->
      <div style="position:absolute;left:44%;top:66%;transform:translate(-50%,-50%);width:64px;height:64px;border-radius:50%;background:var(--case-b);border:2px solid #fff;box-shadow:0 4px 10px rgba(0,0,0,.25);display:flex;align-items:center;justify-content:center;color:#fff;font-family:'Noto Serif TC',serif;font-weight:900;font-size:20px;">B</div>
      <!-- bubble C -->
      <div style="position:absolute;left:20%;top:86%;transform:translate(-50%,-50%);width:64px;height:64px;border-radius:50%;background:var(--case-c);border:2px solid #fff;box-shadow:0 4px 10px rgba(0,0,0,.25);display:flex;align-items:center;justify-content:center;color:#fff;font-family:'Noto Serif TC',serif;font-weight:900;font-size:20px;">C</div>

      <div style="position:absolute;left:0;top:-22px;font-size:10px;color:var(--text-muted);">模型準確度／效益 ↑</div>
      <div style="position:absolute;right:0;bottom:-22px;font-size:10px;color:var(--text-muted);">資料／技術就緒度 →</div>
    </div>
    <div style="flex:1;padding-top:6px;">
      <div style="font-size:12px;font-weight:700;color:var(--text-muted);margin-bottom:12px;">案例對照</div>
      <div style="display:flex;align-items:flex-start;gap:10px;margin-bottom:18px;">
        <span class="icon-circle" style="width:28px;height:28px;background:var(--case-a);font-size:11px;">A</span>
        <div><div style="font-size:12.5px;font-weight:700;">晶圓缺陷分類系統</div><div style="font-size:10px;color:var(--text-muted);">已可用，正式試營運</div></div>
      </div>
      <div style="display:flex;align-items:flex-start;gap:10px;margin-bottom:18px;">
        <span class="icon-circle" style="width:28px;height:28px;background:var(--case-d);font-size:11px;">D</span>
        <div><div style="font-size:12.5px;font-weight:700;">BGBM SPC 與 AI 規劃</div><div style="font-size:10px;color:var(--text-muted);">階段一完成，路線清楚</div></div>
      </div>
      <div style="display:flex;align-items:flex-start;gap:10px;margin-bottom:18px;">
        <span class="icon-circle" style="width:28px;height:28px;background:var(--case-b);font-size:11px;">B</span>
        <div><div style="font-size:12.5px;font-weight:700;">Strip Fail Pattern AI</div><div style="font-size:10px;color:var(--text-muted);">概念驗證，持續累積資料</div></div>
      </div>
      <div style="display:flex;align-items:flex-start;gap:10px;">
        <span class="icon-circle" style="width:28px;height:28px;background:var(--case-c);font-size:11px;">C</span>
        <div><div style="font-size:12.5px;font-weight:700;">AOI 影像 AI（AOI-CP）</div><div style="font-size:10px;color:var(--text-muted);">卡關，需跨部門資源</div></div>
      </div>
    </div>
  </div>
  <div class="footer"><span>綜合結論</span><span>28 / 31</span></div>
</div>

<!-- SLIDE 28 : RECOMMENDATION -->
<div class="slide">
  <div class="kicker" style="color:var(--navy);">RECOMMENDATION</div>
  <div class="title">產線導入建議與優先順序</div>
  <div class="subtitle">依成熟度分成三個行動類別：現在就做、持續投入、需要決策才能突破</div>
  <div style="display:flex;flex-direction:column;gap:12px;margin-top:6px;">
    <div class="card" style="display:flex;gap:20px;border-left:4px solid var(--green);">
      <div style="width:230px;">
        <div class="h2" style="font-size:16px;">現在就能推廣</div>
        <div style="font-size:10.5px;color:var(--green);font-weight:700;margin-top:6px;">案例 A、案例 D（階段一）</div>
      </div>
      <ul class="bullets" style="flex:1;">
        <li>晶圓缺陷分類系統：導入產線試營運，本機版優先用於機密資料場景</li>
        <li>複製「規則判斷＋AI 模型」兩段式分流架構到其他判讀站別</li>
        <li>BGBM SPC 儀表板模式，推廣到其他設備／站別的既有 Log 資料</li>
      </ul>
    </div>
    <div class="card" style="display:flex;gap:20px;border-left:4px solid var(--amber);">
      <div style="width:230px;">
        <div class="h2" style="font-size:16px;">持續投入、分階段推進</div>
        <div style="font-size:10.5px;color:var(--amber);font-weight:700;margin-top:6px;">案例 B、案例 D（階段二～四）</div>
      </div>
      <ul class="bullets" style="flex:1;">
        <li>Strip Fail Pattern：規則式 Route A 先上線把關，Route B 背景訓練累積樣本</li>
        <li>BGBM：依路線圖投入靶材壽命預測（階段二）與異常偵測（階段三）</li>
        <li>設定明確的資料量門檻（如每類別 30–50 筆）作為模型上線判準</li>
      </ul>
    </div>
    <div class="card" style="display:flex;gap:20px;border-left:4px solid var(--red);">
      <div style="width:230px;">
        <div class="h2" style="font-size:16px;">需要管理層決策才能突破</div>
        <div style="font-size:10.5px;color:var(--red);font-weight:700;margin-top:6px;">案例 C</div>
      </div>
      <ul class="bullets" style="flex:1;">
        <li>AOI-CP：現有影像＋表格資料已達技術天花板，非持續加量可解決</li>
        <li>需裁示是否投入跨部門資源：ADC 分類重建、Layout/GDS 資料取得</li>
        <li>在決策明朗前，先以「輔助人工複判」角色小規模試行，不獨立上線</li>
      </ul>
    </div>
  </div>
  <div class="footer"><span>綜合結論</span><span>29 / 31</span></div>
</div>

<!-- SLIDE 29 : DECISIONS -->
<div class="slide">
  <div class="kicker" style="color:var(--navy);">DECISIONS NEEDED</div>
  <div class="title">需要的支持與決策事項</div>
  <div class="subtitle">四個案例現階段共通需要管理層協助的事項彙整</div>
  <div style="display:flex;flex-direction:column;gap:8px;margin-top:6px;">
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:32px;height:32px;background:var(--case-c);font-size:13px;">1</span>
      <div style="width:230px;font-weight:700;font-size:12.5px;">AOI-CP：跨部門資源投入</div>
      <div style="font-size:11px;color:var(--text-muted);flex:1;">同意評估重建 ADC 自動分類規則庫的可行性與時程；協調 AOI 站別工程師與跨部門窗口，確認是否能取得 Layout/GDS 電路結構資料</div>
    </div>
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:32px;height:32px;background:var(--case-c);font-size:13px;">2</span>
      <div style="width:230px;font-weight:700;font-size:12.5px;">AOI-CP：角色定位</div>
      <div style="font-size:11px;color:var(--text-muted);flex:1;">現階段模型準確率有限，是否同意先以「輔助人工複判」而非「自動判定」角色小規模試行</div>
    </div>
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:32px;height:32px;background:var(--case-b);font-size:13px;">3</span>
      <div style="width:230px;font-weight:700;font-size:12.5px;">Strip Fail Pattern：資料累積時程</div>
      <div style="font-size:11px;color:var(--text-muted);flex:1;">同意持續投入 Stage 1/2 標記作業，設定每類別 30–50 筆里程碑，作為 Route B 上線判準</div>
    </div>
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:32px;height:32px;background:var(--case-a);font-size:13px;">4</span>
      <div style="width:230px;font-weight:700;font-size:12.5px;">晶圓缺陷分類：正式導入</div>
      <div style="font-size:11px;color:var(--text-muted);flex:1;">核准將本機版導入涉及機密資料的產線站別試營運，並評估複製分流架構到其他站別</div>
    </div>
    <div class="card" style="display:flex;align-items:center;gap:16px;">
      <span class="icon-circle" style="width:32px;height:32px;background:var(--case-d);font-size:13px;">5</span>
      <div style="width:230px;font-weight:700;font-size:12.5px;">BGBM：資料串接與投資</div>
      <div style="font-size:11px;color:var(--text-muted);flex:1;">支持與設備工程師確認計數器定義、建立 Log 資料庫化機制，並協助串接 MES 量測資料以啟動虛擬量測 POC</div>
    </div>
  </div>
  <div class="footer"><span>綜合結論</span><span>30 / 31</span></div>
</div>

<!-- SLIDE 30 : THANK YOU -->
<div class="slide dark">
  <div class="bg-circle" style="width:480px;height:480px;top:-260px;right:-40px;"></div>
  <div class="bg-circle" style="width:320px;height:320px;bottom:-160px;left:-100px;"></div>
  <div style="margin-top:190px;">
    <div style="font-size:13px;font-weight:700;letter-spacing:3px;color:var(--gold);">THANK YOU</div>
    <div style="font-family:'Noto Serif TC',serif;font-weight:900;font-size:40px;margin-top:14px;">敬請討論與指示</div>
    <div style="font-size:14px;color:#AAB4D4;margin-top:16px;max-width:760px;line-height:1.5;">四個案例的完整技術驗證過程與詳細資料，已分別整理成各專案技術報告，可另行提供參考</div>
    <div style="display:flex;gap:26px;margin-top:34px;">
      <span style="display:flex;align-items:center;gap:8px;font-size:12px;color:#C3CBEA;"><span style="width:22px;height:22px;border-radius:50%;background:var(--case-a);display:inline-flex;align-items:center;justify-content:center;color:#fff;font-size:10px;font-weight:700;">A</span>晶圓缺陷分類</span>
      <span style="display:flex;align-items:center;gap:8px;font-size:12px;color:#C3CBEA;"><span style="width:22px;height:22px;border-radius:50%;background:var(--case-b);display:inline-flex;align-items:center;justify-content:center;color:#fff;font-size:10px;font-weight:700;">B</span>Strip Fail Pattern</span>
      <span style="display:flex;align-items:center;gap:8px;font-size:12px;color:#C3CBEA;"><span style="width:22px;height:22px;border-radius:50%;background:var(--case-c);display:inline-flex;align-items:center;justify-content:center;color:#fff;font-size:10px;font-weight:700;">C</span>AOI-CP</span>
      <span style="display:flex;align-items:center;gap:8px;font-size:12px;color:#C3CBEA;"><span style="width:22px;height:22px;border-radius:50%;background:var(--case-d);display:inline-flex;align-items:center;justify-content:center;color:#fff;font-size:10px;font-weight:700;">D</span>BGBM SPC＋AI</span>
    </div>
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  <div class="footer dark-footer"><span>AI 應用產線可行性評估報告</span><span>31 / 31</span></div>
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